Repository: moj-analytical-services/data_linter (language: python)

Issue:
make requested changes



Discussion / hints:

Fix patch:
diff --git a/.github/workflows/check-packages.yml b/.github/workflows/check-packages.yml
deleted file mode 100644
index 620d1e1..0000000
--- a/.github/workflows/check-packages.yml
+++ /dev/null
@@ -1,22 +0,0 @@
-  
-name: Build and run tests in container to test dependencies
-
-on:
-    workflow_dispatch:
-    schedule:
-        - cron: '0 0 * * 1'
-
-jobs:
-
-  build-run-tests:
-
-    runs-on: ubuntu-latest
-
-    steps:
-    - uses: actions/checkout@v2
-    
-    - name: Build image
-      run: docker build . --file tests/Dockerfile_no_lock --tag package-update-tests
-
-    - name: Run tests
-      run: docker run -t package-update-tests
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 85f0dad..8a10dfa 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -4,7 +4,16 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/)
 and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html).
 
-## 5.0.8 2021-08-25
+## 6.0.0 2021-09-23
+
+- removed `only-test-columns-in-metadata` from config and replaced it with two (`allow-unexpected-data` and `allow-missing-cols`) that
+allow there to be some misallignment between the meta and the data
+- if there is no commanilty between the data, then an error is raised regardless of the two new mitigations
+- when an exception is raised during linting, data contiues to be processed so that all errors are apparent at the end of linting
+- updated dependancies to be in line with other mojap packages
+- updated CI/CD tests
+
+## 5.1.0 2021-08-25
 
 - updated schema and config parsing to allow for underscores or hypens used in parameter names
 
diff --git a/README.md b/README.md
index 4e8d5c9..5aef2c6 100644
--- a/README.md
+++ b/README.md
@@ -2,32 +2,17 @@
 
 A python package to to allow automatic validation of data as part of a Data Engineering pipeline. It is designed to read in and validate tabular data against a given schema for the data. The schemas provided adhere to [our metadata schemas standards](https://github.com/moj-analytical-services/mojap-metadata/) for data. This package can also be used to manage movement of data from a landing area (s3 or locally) to a new location based on the result of the validation.
 
-This package implements different validators using different packages based on the users preference:
-- `pandas`: (default) Uses our own lightweight pandas dataframe operations to run simple validation tests on the columns based on the datatype and additional tags in the metadata. Utilises pyarrow for reading data.
-- `frictionless`: Uses Frictionless data to validate the data against our metadata schemas. More information can be found [here](https://github.com/frictionlessdata/frictionless-py/)
-- `great-expectations`: Uses the Great Expectations data to validate the data against our metadata schemas. More information can be found [here](https://github.com/great-expectations/great_expectations)
-
+This package uses own lightweight pandas dataframe operations to run simple validation tests on the columns based on the datatype and additional tags in the metadata. Utilises [mojap-arrow-pd-parser](https://github.com/moj-analytical-services/mojap-arrow-pd-parser) for reading data.
 
 ## Installation
 
 ```bash
-pip install data_linter # pandas validator only
+pip install data_linter
 ```
 
-Or to install the necessary dependencies for the non-default validators.
-
-```bash
-pip install data_linter[frictionless] # To include packages required for the frictionless validator
-
-# OR
-
-pip install data_linter[ge] # To include packages required for teh great-expectations validator
-```
-
-
 ## Usage
 
-This package takes a `yaml` based config file written by the user (see example below), and validates data in the specified s3 folder path against specified metadata. If the data conforms to the metadata, it is moved to the specified s3 folder path for the next step in the pipeline (note can also provide local paths for running locally). Any failed checks are passed to a separate location for testing. The package also generates logs to allow you to explore issues in more detail.
+This package takes a `yaml` based config file written by the user (see example below), and validates data in the specified s3 folder path against specified metadata. If the data conforms to the metadata, it is moved to the specified s3 folder path for the next step in the pipeline (note can also provide local paths). Any failed checks are passed to a separate location for testing. The package also generates logs to allow you to explore issues in more detail.
 
 ### Simple Use
 
@@ -64,8 +49,8 @@ fail-unknown-files:
         - additional_file.txt
         - another_additional_file.txt
 
-validator-engine: pandas # will default to this if unspecified
-# (but other options are `frictionless` and `great-expectations`)
+validator-engine-params:
+    log_verbosity: 2 # how many samples of incorrect data to include in logs, 0 means all. Pandas validator only. 
 
 # Tables to validate
 tables:
@@ -73,13 +58,20 @@ tables:
         required: true  # Does the table have to exist
         pattern: null  # Assumes file is called table1 (same as key)
         metadata: meta_data/table1.json # local path to metadata
+        log_verbosity: 5 # overrides the validator-engine-params log verbosity for this table only
+        allow-missing-cols: False # allows there to be data in the metadata but not actual data
 
     table2:
         required: true
         pattern: ^table2
         metadata: meta_data/table2.json
         row-limit: 10000 # for big tables - only take the first x rows
+        allow-unexpected-data: True # allows there to be columns present in the data but not the metadata
 ```
+**unexpected data and missing columns**
+To allow flexibilty in what is validated in the data, the parameters `allow-unexpected-data` and `allow-missing-cols` has been added. These can be described neatly in one diagram:
+
+![](images/data_misalignment.png)
 
 You can also run the validator as part of a python script, where you might want to dynamically generate your config:
 
@@ -94,8 +86,6 @@ base_config = {
     "compress-data": False,
     "remove-tables-on-pass": False,
     "all-must-pass": False,
-    "validator-engine": "great-expectations",
-    "validator-engine-params": {"default_result_fmt": "BASIC", "ignore_missing_cols": True},
     "tables": {}
 }
 
@@ -106,7 +96,6 @@ def get_table_config(table_name):
         "metadata": f"metadata/{table_name}.json",
         "pattern": r"^{}\.jsonl$".format(table_name),
         "headers-ignore-case": True,
-        "only-test-cols-in-metadata": True # Only currently supported by great-expectations validator
     }
     return d
 
@@ -144,7 +133,6 @@ pv.response.get_result()  # Returns dict of all tests ran against data
 pv.get_names_of_column_failures()  # [], i.e. no cols failed
 ```
 
-
 ### Parallel Running
 
 Data Linter can also work in parallel to trigger multiple validations at once (only supports use of S3 atm). An example below:
@@ -192,7 +180,7 @@ config = yaml.safe_load(simple_yaml_config)
 # Init stage
 validation.para_run_init(4, config)
 
-# Validation stage (although ran sequencially this can be ran in parallel)
+# Validation stage (although ran sequentially this can be ran in parallel)
 for i in range(4):
     validation.para_run_validation(i, config)
 
@@ -243,26 +231,6 @@ In the above data_linter will attempt to fist parse the column with the specifie
 
 If the file_format is `parquet` then timestamps are encoded in the filetype and there are just read in as is. Currently data_linter doesn't support minimum and maximum tests for timestamps/dates and also does not currently have tests for time types. 
 
-
-### Frictionless
-
-Known errors / gotchas:
-- Frictionless will drop cols in a jsonl files if keys are not present in the first row (would recommend using the `great-expectations` validator for jsonl as it uses pandas to read in the data). [Link to raised issue](https://github.com/frictionlessdata/frictionless-py/issues/490).
-
-
-### Great Expectations
-
-Known errors / gotchas:
-- When setting the "default_result_fmt" to "COMPLETE" current default behavour of codebase. You may get errors due to the fact that the returned result from great expectations tries to serialise a `pd.NA` (as a value sample in you row that failed an expectation) when writing the result as a json blob. This can be avoided by setting the "default_result_fmt" to "BASIC" as seen in the Python example above. [Link to raised issue](https://github.com/great-expectations/great_expectations/issues/2029).
-
-
-#### Additional Parameters
-
-- `default_result_fmt`: This is passed to the GE validator, if unset default option is to set the value to `"COMPLETE"`. This value sets out how much information to be returned in the result from each "expectation". For more information [see here](https://docs.greatexpectations.io/en/v0.4.0/result_format.html). Also note the safest option is to set it to `"BASIC"` for reasons discussed in the gotcha section above.
-
-- `ignore_missing_cols`: Will not fail if columns don't exist in data but do in metadata (it ignores this).
-
-
 ## Process Diagram
 
 How logic works
@@ -284,4 +252,4 @@ poetry build
 poetry publish -u <username>
 ```
 
-Here, you should substitute <username> for your PyPI username. In order to publish to PyPI, you must be an owner of the project.
\ No newline at end of file
+Here, you should substitute <username> for your PyPI username. In order to publish to PyPI, you must be an owner of the project.
diff --git a/data_linter/__init__.py b/data_linter/__init__.py
index 0d72820..0f607a5 100644
--- a/data_linter/__init__.py
+++ b/data_linter/__init__.py
@@ -1,1 +1,1 @@
-__version__ = "5.1.0"
+__version__ = "6.0.0"
diff --git a/data_linter/log_explorer_utils.py b/data_linter/log_explorer_utils.py
new file mode 100644
index 0000000..61a657b
--- /dev/null
+++ b/data_linter/log_explorer_utils.py
@@ -0,0 +1,134 @@
+import os
+
+from arrow_pd_parser import reader
+from data_linter.validation import load_and_validate_config
+from IPython.display import Markdown
+
+
+def summary_of_all_tables(config_path: str):
+    """
+    Summary measures:
+        - overall validity
+        - total number files that have failed as a percentage and number
+        - count of failures per table
+    """
+    # get the config
+    config = load_and_validate_config(config_path)
+    # make the logs path
+    pull_logs_from = os.path.join(config["log-base-path"], "tables")
+    # pull logs as df
+    logs_df = reader.read(pull_logs_from, file_format="jsonl")
+    # get overall valid
+    overall_valid = "✅" if logs_df["valid"].all() else "❌"
+    total = len(logs_df["valid"])
+    count_successes = logs_df["valid"].sum()
+    # get number of failures
+    count_fails = total - count_successes
+    # get percentage of files that failed
+    percentage_fails = (count_fails / total) * 100
+    count_fails = logs_df["valid"].value_counts().to_dict().get(False, 0)
+    # make the summary markdown
+    summary_markdown = (
+        "overall valid | fail percentage | fail count\n"
+        "--- | --- | ---\n"
+        f"{overall_valid} | {percentage_fails}% | {count_fails}"
+    )
+    # get list of tables
+    table_list = list(logs_df["table-name"].unique())
+    # get the failure count per table
+    table_fails_markdown = (
+        "table | percentage of files failed | number of failed files\n"
+        "--- | --- | ---\n"
+    )
+    for table_name in table_list:
+        # just get this tables deets
+        table_log_df = logs_df[logs_df["table-name"] == table_name]
+        # get percentage of fails
+        table_percentage_fails = (
+            table_log_df["valid"]
+            .value_counts(normalize=True)
+            .mul(100)
+            .to_dict()
+            .get(False, 0.0)
+        )
+        # get count of fails
+        table_count_fails = table_log_df["valid"].value_counts().to_dict().get(False, 0)
+        # add results to markdown
+        table_fails_markdown += (
+            f"{table_name} | {table_percentage_fails} | {table_count_fails}\n"
+        )
+
+    return Markdown(
+        f"### overall summary \n{summary_markdown}\n"
+        f"### per table summary \n{table_fails_markdown}\n"
+    )
+
+
+def get_failed_files(config_path: str, table_name: str = None) -> Markdown:
+    # set the table name
+    table_name = "" if not table_name else table_name
+    # get the config
+    config = load_and_validate_config(config_path)
+    # get the path of the logs required to read
+    pull_logs_from = os.path.join(config["log-base-path"], "tables", table_name)
+    # read the logs
+    logs_df = reader.read(pull_logs_from, file_format="jsonl")
+    # get all the failed paths
+    trimmed = logs_df[logs_df["valid"] is False][["table-name", "original-path"]]
+    # return it as markdown
+    return Markdown(trimmed.to_markdown())
+
+
+def get_all_errors_for_file(config_path: str, file_path: str):
+    # get the config
+    config = load_and_validate_config(config_path)
+    # get the path of the logs required to read
+    pull_logs_from = os.path.join(config["log-base-path"], "tables")
+    # read the logs
+    logs_df = reader.read(pull_logs_from, file_format="jsonl")
+    # get the errors for the file in question from all the logs
+    file_logs = logs_df[logs_df["original-path"] == file_path]
+    # if the file logs has more than one entry, then it probably contains logs from more
+    # than one lint run, lets tell the user that
+    if len(file_logs) > 1:
+        print(
+            "More than one log for file, output may contain duplicate entries\n\n"
+            "Entries show most recent first"
+        )
+    # extract the timestamps from the log files
+    file_logs["ts"] = file_logs["archived-path"].apply(
+        lambda x: os.path.splitext(os.path.basename(x))[0].rsplit("-", 1)[1]
+    )
+    # sort in descending order
+    file_logs = file_logs.sort_values(by="ts", ascending=False)
+    # use this to collect the markdown tables
+    list_of_markdown_tables = []
+    # for each file, generate a markdown table in descending order of the timestamp
+    for i in range(len(file_logs)):
+        # get the response dict
+        current_response_dict = file_logs["response"][0]
+        # make the markdown header template
+        file_markdown = (
+            f"**file:** {file_logs['original-path'][i]}\n"
+            f"**timestamp of run:** {file_logs['ts'][i]}\n\n"
+            "column | test name | test result | percentage error | traceback/error\n"
+            "--- | --- | --- | --- | ---\n"
+        )
+        # add each column and test to the this files markdown table
+        for col, tests in current_response_dict.items():
+            if col == "valid":
+                continue
+            # for each test in this column, make the markdown for it
+            for test_name, test_result in tests.items():
+                if test_name == "valid":
+                    continue
+                test_valid = "✅" if test_result["valid"] else "❌"
+                percentage_error = test_result.get(
+                    "percentage_of_column_is_error", "n/a"
+                )
+                tb = test_result.get("traceback", "n/a")
+                file_markdown += (
+                    f"{col} | {test_name} | {test_valid} | {percentage_error} | {tb}\n"
+                )
+        list_of_markdown_tables.append(file_markdown + "\n\n")
+    return Markdown("\n\n".join(list_of_markdown_tables))
diff --git a/data_linter/schemas/config-schema.json b/data_linter/schemas/config-schema.json
index e2c76bd..66fbdbe 100644
--- a/data_linter/schemas/config-schema.json
+++ b/data_linter/schemas/config-schema.json
@@ -444,7 +444,7 @@
                                 ]
                             },
                             "headers-ignore-case": {
-                                "$id": "#/properties/tables/items/properties/table1/properties/expect-header",
+                                "$id": "#/properties/tables/items/properties/table1/properties/headers-ignore-case",
                                 "type": "boolean",
                                 "title": "The headers-ignore-case Schema",
                                 "description": "Set to ignore case of the header names. Linter will lowercase to match naming convention in metadata schemas. To be used in conjunction with expect-header = true",
@@ -454,7 +454,7 @@
                                 ]
                             },
                             "headers_ignore_case": {
-                                "$id": "#/properties/tables/items/properties/table1/properties/expect_header",
+                                "$id": "#/properties/tables/items/properties/table1/properties/headers_ignore_case",
                                 "type": "boolean",
                                 "title": "The headers-ignore-case Schema",
                                 "description": "Set to ignore case of the header names. Linter will lowercase to match naming convention in metadata schemas. To be used in conjunction with expect-header = true",
@@ -463,10 +463,32 @@
                                     false
                                 ]
                             },
-                            "only-test-cols-in-metadata": {
-                                "$id": "#/properties/tables/items/properties/table1/properties/only-test-cols-in-metadata",
+                            "allow-missing-cols": {
+                                "$id": "#/properties/tables/items/properties/table1/properties/allow-missing-cols",
+                                "type": "boolean",
+                                "title": "The allow-missing-cols Schema",
+                                "description": "Set to avoid testing new cols and failing if all expected cols pass but new unknown columns also exist. Only for ge validator-engine.",
+                                "examples": [
+                                    true,
+                                    false
+                                ],
+                                "default": false
+                            },
+                            "allow_missing_cols": {
+                                "$id": "#/properties/tables/items/properties/table1/properties/allow_missing_cols",
+                                "type": "boolean",
+                                "title": "The allow_missing_cols Schema",
+                                "description": "Set to avoid testing new cols and failing if all expected cols pass but new unknown columns also exist. Only for ge validator-engine.",
+                                "examples": [
+                                    true,
+                                    false
+                                ],
+                                "default": false
+                            },
+                            "allow-unexpected-data": {
+                                "$id": "#/properties/tables/items/properties/table1/properties/allow-unexpected-data",
                                 "type": "boolean",
-                                "title": "The only-test-cols-in-metadata Schema",
+                                "title": "The allow-unexpected-data Schema",
                                 "description": "Set to avoid testing new cols and failing if all expected cols pass but new unknown columns also exist. Only for ge validator-engine.",
                                 "examples": [
                                     true,
@@ -474,10 +496,10 @@
                                 ],
                                 "default": false
                             },
-                            "only_test_cols_in_metadata": {
-                                "$id": "#/properties/tables/items/properties/table1/properties/only_test_cols_in_metadata",
+                            "allow_unexpected_data": {
+                                "$id": "#/properties/tables/items/properties/table1/properties/allow_unexpected_data",
                                 "type": "boolean",
-                                "title": "The only-test-cols-in-metadata Schema",
+                                "title": "The allow_unexpected_data Schema",
                                 "description": "Set to avoid testing new cols and failing if all expected cols pass but new unknown columns also exist. Only for ge validator-engine.",
                                 "examples": [
                                     true,
@@ -506,8 +528,9 @@
                                     "row-limit",
                                     "expect-header",
                                     "headers-ignore-case",
-                                    "only-test-cols-in-metadata",
-                                    "pandas-kwargs"
+                                    "allow-missing-cols",
+                                    "pandas-kwargs",
+                                    "allow-unexpected-data"
                                 ]
                             },
                             {
@@ -515,8 +538,9 @@
                                     "row_limit",
                                     "expect_header",
                                     "headers_ignore_case",
-                                    "only_test_cols_in_metadata",
-                                    "pandas_kwargs"
+                                    "allow_missing_cols",
+                                    "pandas_kwargs",
+                                    "allow_unexpected_data"
                                 ]
                             }
                         ]
diff --git a/data_linter/utils.py b/data_linter/utils.py
index a966b9e..0f9adf6 100644
--- a/data_linter/utils.py
+++ b/data_linter/utils.py
@@ -85,7 +85,7 @@ def get_out_path(
 def get_table_log_path(basepath: str, table: str, ts: str, filenum: int = 0) -> str:
     final_filename = f"log-{table}-{filenum}-{ts}.json"
 
-    out_path = os.path.join(basepath, table, final_filename)
+    out_path = os.path.join(basepath, "tables", table, final_filename)
     return out_path
 
 
diff --git a/data_linter/validation.py b/data_linter/validation.py
index 3d0d45f..0579e98 100644
--- a/data_linter/validation.py
+++ b/data_linter/validation.py
@@ -45,19 +45,13 @@
     read_all_file_body,
 )
 
-from data_linter.validators import (
-    FrictionlessValidator,
-    GreatExpectationsValidator,
-    PandasValidator,
-)
+from data_linter.validators import PandasValidator
+
+from data_linter.validators.base import ValidatorResult
 
 log, log_stringio = logging_setup()
 
-get_validator = {
-    "pandas": PandasValidator,
-    "frictionless": FrictionlessValidator,
-    "great-expectations": GreatExpectationsValidator,
-}
+get_validator = {"pandas": PandasValidator}
 
 
 def load_and_validate_config(config: Union[str, dict] = "config.yaml") -> dict:
@@ -97,7 +91,7 @@ def _read_and_replace_config_underscores(config: dict):
         "validator_engine",
         "validator_engine_params",
         "iam_role_name",
-        "run_paralell"
+        "run_paralell",
     ]
     table_params = [
         "expect_header",
@@ -394,7 +388,7 @@ def validate_from_chunked_configs(config: dict, config_num: int) -> bool:
         raise ValueError("Local land path not supported for parrallel running")
 
 
-def validate_data(config: dict):
+def validate_data(config: dict) -> ValidatorResult:
 
     validator_engine = config.get("validator-engine", "pandas")
     validator_params = config.get("validator-engine-params", {})
@@ -418,7 +412,10 @@ def validate_data(config: dict):
 
             for i, matched_file in enumerate(table_params["matched_files"]):
 
-                log.info(f"...file {i+1} of {len(table_params['matched_files'])}")
+                log.info(
+                    f"{matched_file} ...file {i+1} "
+                    f"of {len(table_params['matched_files'])}"
+                )
                 validator = get_validator[validator_engine](
                     matched_file, table_params, metadata, **validator_params
                 )
@@ -447,6 +444,8 @@ def validate_data(config: dict):
     if all_table_responses:
         save_completion_status(config, all_table_responses)
 
+    return validator.response
+
 
 def save_completion_status(config: dict, all_table_responses: List[dict]):
     """
@@ -471,8 +470,12 @@ def save_completion_status(config: dict, all_table_responses: List[dict]):
                 suffix=".json", prefix=og_file_name
             ) as tmp_file:
 
-                with open(tmp_file.name, "w") as json_out:
-                    json.dump(table_response, json_out)
+                try:
+                    with open(tmp_file.name, "w") as json_out:
+                        json.dump(table_response, json_out)
+                except Exception as e:
+                    log.info(table_response)
+                    raise e
 
                 tmp_file_name = os.path.basename(tmp_file.name)
                 s3_temp_path = os.path.join(temp_status_basepath, tmp_file_name)
@@ -484,8 +487,12 @@ def save_completion_status(config: dict, all_table_responses: List[dict]):
                 os.makedirs(temp_status_basepath, exist_ok=True)
             tmp_file_resp = tempfile.mkstemp(suffix=".json", dir=temp_status_basepath)
             tmp_filename = tmp_file_resp[1]
-            with open(tmp_filename, "w") as json_out:
-                json.dump(table_response, json_out)
+            try:
+                with open(tmp_filename, "w") as json_out:
+                    json.dump(table_response, json_out)
+            except Exception as e:
+                log.info(table_response)
+                raise e
 
 
 def collect_all_status(config: dict):
diff --git a/data_linter/validators/__init__.py b/data_linter/validators/__init__.py
index 36a1c19..5dac515 100644
--- a/data_linter/validators/__init__.py
+++ b/data_linter/validators/__init__.py
@@ -1,3 +1,1 @@
 from .pandas_validator import PandasValidator  # noqa
-from .frictionless_validator import FrictionlessValidator  # noqa
-from .great_expectations_validator import GreatExpectationsValidator  # noqa
diff --git a/data_linter/validators/frictionless_validator.py b/data_linter/validators/frictionless_validator.py
deleted file mode 100644
index 7eec5e7..0000000
--- a/data_linter/validators/frictionless_validator.py
+++ /dev/null
@@ -1,201 +0,0 @@
-import logging
-
-from data_linter.validators.base import BaseTableValidator
-
-optional_import_errors = ""
-try:
-    from frictionless import (
-        validate,
-        Table,
-        dialects,
-        Query,
-    )
-except ImportError as e:
-    optional_import_errors += " " + str(e)
-
-log = logging.getLogger("root")
-
-
-class FrictionlessValidator(BaseTableValidator):
-    """
-    Frictionless data validator
-    """
-
-    def __init__(self, filepath: str, table_params: dict, metadata: dict):
-        super().__init__(filepath, table_params, metadata)
-        self.response = None  # Not yet integrated with ValidatorResult class
-        self.schema = convert_meta_to_goodtables_schema(metadata)
-        if optional_import_errors:
-            imp_err = (
-                "This validator requires optional packages that are not installed. "
-                f"Please see specific errors: {optional_import_errors}"
-            )
-            raise ImportError(imp_err)
-
-    def write_validation_errors_to_log(self):
-        for e in self.response["errors"]:
-            log.error(e["message"], extra={"context": "VALIDATION"})
-
-    def read_data_and_validate(self):
-        """Reads data from filepath and validates it.
-
-        Using frictionless.
-        """
-
-        log.info(f"Reading and validating: {self.filepath}")
-
-        skip_errors = []
-
-        # assert the correct dialect and checks
-        header_case = not self.table_params.get("headers-ignore-case", False)
-        if "json" in self.metadata["file_format"]:
-            expected_headers = [
-                c["name"]
-                for c in self.metadata["columns"]
-                if c not in self.metadata.get("partitions", [])
-            ]
-            dialect = dialects.JsonDialect(keys=expected_headers)
-            if (
-                "headers-ignore-case" in self.table_params
-                or "expect-header" in self.table_params
-            ):
-                conf_warn = (
-                    "jsonl files do not support header options. If keys "
-                    "in json lines do not match up exactly (i.e. case sensitive) "
-                    "with meta columns then keys will be nulled"
-                )
-                log.warning(conf_warn)
-        else:  # assumes CSV
-            dialect = dialects.Dialect(header_case=header_case)
-            if not self.table_params.get("expect-header"):
-                skip_errors.append("#head")
-
-        query = None
-        row_limit = self.table_params.get("row-limit", False)
-
-        if row_limit:
-            query = Query(limit_rows=row_limit)
-
-        if " " in self.filepath:
-            raise ValueError("The filepath must not contain a space")
-
-        with Table(self.filepath, dialect=dialect, query=query) as table:
-            resp = validate(
-                table.row_stream,
-                schema=self.schema,
-                dialect=dialect,
-                skip_errors=skip_errors,
-            )
-
-        self.valid = resp.valid
-        # Returns a class so lazily converting it to dict
-        self.response = dict(resp.tables[0])
-
-
-def convert_meta_type_to_goodtable_type(meta_col: dict) -> str:
-    """
-    Converts string name for etl_manager data type
-    and converts it to a goodtables data type
-
-    Parameters
-    ----------
-    meta_col: dict
-        Column dict from the metadata columns
-
-    Returns
-    -------
-    str:
-        Column type of the goodtables_type
-        https://frictionlessdata.io/specs/table-schema/
-    """
-    meta_type = meta_col["type"].lower()
-    meta_type_category = meta_col["type_category"].lower()
-
-    lookup = {
-        "string": "string",
-        "integer": "integer",
-        "float": "number",
-        "boolean": "boolean",
-    }
-
-    if meta_type_category in lookup:
-        gt_type = lookup[meta_type_category]
-    elif meta_type_category.startswith("timestamp"):
-        if meta_type.startswith("date"):
-            gt_type = "date"
-        elif meta_type.startswith("timestamp"):
-            gt_type = "datetime"
-        else:
-            pass
-    elif meta_type_category == "list":
-        gt_type = "array"
-    elif meta_type_category == "struct":
-        gt_type = "object"
-    else:
-        raise TypeError(
-            f"Given meta with type:{meta_type} and type_category:"
-            f"{meta_type_category} but this matches no goodtables equivalent."
-        )
-
-    return gt_type
-
-
-def convert_meta_to_goodtables_schema(meta: dict) -> dict:
-    """
-    Should take our metadata file and convert it to a goodtables schema
-
-    Parameters
-    ----------
-    meta: dict
-        Takes a metadata dictionary (see etl_manager)
-        then converts that to a particular schema for linting
-
-    Returns
-    -------
-    dict:
-        A goodtables schema
-    """
-
-    gt_template = {
-        "$schema": "https://frictionlessdata.io/schemas/table-schema.json",
-        "fields": [],
-        "missingValues": [],
-    }
-
-    gt_constraint_names = [
-        "unique",
-        "minLength",
-        "maxLength",
-        "minimum",
-        "maximum",
-        "pattern",
-        "enum",
-    ]
-
-    for col in meta["columns"]:
-        gt_constraints = {}
-
-        gt_type = convert_meta_type_to_goodtable_type(col)
-        gt_format = col.get("format", "default")
-
-        if gt_type in ["date", "datetime"] and "format" not in col:
-            gt_format = "any"
-
-        if "nullable" in col:
-            gt_constraints["required"] = not col["nullable"]
-
-        contraint_params_in_col = [g for g in gt_constraint_names if g in col]
-
-        for gt_constraint_name in contraint_params_in_col:
-            gt_constraints[gt_constraint_name] = col[gt_constraint_name]
-
-        gt_template["fields"].append(
-            {
-                "name": col["name"],
-                "type": gt_type,
-                "format": gt_format,
-                "constraints": gt_constraints,
-            }
-        )
-
-    return gt_template
diff --git a/data_linter/validators/great_expectations_validator.py b/data_linter/validators/great_expectations_validator.py
deleted file mode 100644
index 5fd0c92..0000000
--- a/data_linter/validators/great_expectations_validator.py
+++ /dev/null
@@ -1,407 +0,0 @@
-import logging
-from data_linter.validators.base import (
-    BaseTableValidator,
-    ValidatorResult,
-)
-
-from copy import deepcopy
-
-optional_import_errors = ""
-try:
-    import pandas as pd
-    import numpy as np
-except ImportError as e:
-    optional_import_errors += " " + str(e)
-
-try:
-    import awswrangler as wr
-except ImportError as e:
-    optional_import_errors += " " + str(e)
-
-
-try:
-    import great_expectations as ge
-except ImportError as e:
-    optional_import_errors += " " + str(e)
-
-numerical_conversion = {
-    "integer": "Int64",
-    "float": np.float,
-}
-
-default_pd_in_type = "str"
-
-pd_conversion = deepcopy(numerical_conversion)
-pd_conversion["timestamp"] = "str"
-pd_conversion["boolean"] = "str"
-pd_conversion["string"] = "str"
-
-
-log = logging.getLogger("root")
-
-
-class GreatExpectationsValidator(BaseTableValidator):
-    """
-    Great expectations data validator
-    """
-
-    def __init__(
-        self,
-        filepath: str,
-        table_params: dict,
-        metadata: dict,
-        default_result_fmt="COMPLETE",
-        ignore_missing_cols=False,
-    ):
-        super().__init__(
-            filepath, table_params, metadata, validator_valid_key_name="success"
-        )
-
-        if optional_import_errors:
-            imp_err = (
-                "This validator requires optional packages that are not installed. "
-                f"Please see specific errors: {optional_import_errors}"
-            )
-            raise ImportError(imp_err)
-
-        self.default_result_fmt = default_result_fmt
-        self.ignore_missing_cols = ignore_missing_cols
-
-        self.valid = self.response.result["valid"]
-
-    def write_validation_errors_to_log(self):
-        table_result = self.response.get_result()
-        if not table_result["valid"]:
-            failed_cols = self.response.get_names_of_column_failures()
-            err_msg = (
-                "Table failed validation. "
-                f"Col failures: {failed_cols}. "
-                "See response error log for more details."
-            )
-            log.error(err_msg, extra={"context": "VALIDATION"})
-            log.debug(str(table_result), extra={"context": "VALIDATION"})
-
-    def read_data_and_validate(self):
-        """Reads data from filepath and validates it.
-
-        Using Great Expectations.
-        """
-        df = _parse_data_to_pandas(
-            self.filepath,
-            self.table_params,
-            self.metadata,
-            nrows=self.table_params.get("row-limit"),
-        )
-
-        if self.metadata["file_format"] != "parquet":
-            df = _convert_df_to_meta_for_testing(df, self.metadata, self.response)
-
-        validate_df_with_ge(
-            df,
-            self.metadata,
-            self.response,
-            self.default_result_fmt,
-            self.ignore_missing_cols,
-        )
-        self.valid = self.response.result["valid"]
-
-    def get_response_dict(self):
-        self.response.get_result()
-
-
-def _convert_df_to_meta_for_testing(df, metadata, result: ValidatorResult):
-
-    df_cols = list(df.columns)
-    cols = [c for c in metadata["columns"] if c["name"] in df_cols]
-
-    for c in cols:
-        try:
-            if c["type_category"] in numerical_conversion:
-                df[c["name"]] = pd.to_numeric(df[c["name"]])
-                df[c["name"]] = df[c["name"]].astype(
-                    numerical_conversion[c["type_category"]]
-                )  # in case pandas converts to int rather than float
-            else:
-                df[c["name"]] = df[c["name"]].astype("string")
-            result.add_test_to_col(
-                c["name"], "test-type-conversion", {"success": True, "desc": None}
-            )
-        except Exception as e:
-            t = numerical_conversion.get(c["type_category"], "string")
-            e = (
-                f"Column {c['name']} could not be cast to pandas type {t}."
-                f"Error: {str(e)}"
-            )
-            log.error(e, extra={"context": "VALIDATION"})
-            result.add_test_to_col(
-                c["name"], "test-type-conversion", {"success": False, "desc": e}
-            )
-
-    return df
-
-
-def _parse_data_to_pandas(
-    filepath: str, table_params: dict, metadata: dict, nrows: int = None
-):
-
-    meta_col_names = [
-        c["name"]
-        for c in metadata["columns"]
-        if c["name"] not in metadata.get("partitions", [])
-    ]
-
-    pandas_kwargs = table_params.get("pandas-kwargs", {})
-
-    if "csv" in metadata["file_format"]:
-        names = None
-        header = "infer" if table_params.get("expect-header", True) else None
-        if header is None:
-            names = meta_col_names
-
-        if filepath.startswith("s3://"):
-            df = wr.s3.read_csv(
-                [filepath],
-                header=header,
-                dtype=default_pd_in_type,
-                names=names,
-                nrows=nrows,
-                **pandas_kwargs,
-            )
-        else:
-            df = pd.read_csv(
-                filepath,
-                header=header,
-                dtype=default_pd_in_type,
-                names=names,
-                nrows=nrows,
-                **pandas_kwargs,
-            )
-
-    elif "json" in metadata["file_format"]:
-        if filepath.startswith("s3://"):
-            df = wr.s3.read_json(
-                [filepath],
-                lines=True,
-                dtype=default_pd_in_type,
-                nrows=nrows,
-                **pandas_kwargs,
-            )
-        else:
-            df = pd.read_json(
-                filepath,
-                lines=True,
-                dtype=default_pd_in_type,
-                nrows=nrows,
-                **pandas_kwargs,
-            )
-
-    elif "parquet" in metadata["file_format"]:
-        if filepath.startswith("s3://"):
-            df = wr.s3.read_parquet([filepath], nrows=nrows, **pandas_kwargs)
-        else:
-            df = pd.read_parquet(filepath, nrows=nrows, **pandas_kwargs)
-
-    else:
-        raise ValueError(
-            f"metadata file_format ({metadata['file_format']})"
-            "not supported for GE validator."
-        )
-
-    if table_params.get("headers-ignore-case"):
-        df_cols = [c.lower() for c in df.columns]
-        df.columns = df_cols
-
-    if table_params.get("only-test-cols-in-metadata", False):
-        keep_cols = [c for c in df.columns if c in meta_col_names]
-        df = df[keep_cols]
-
-    return df
-
-
-def validate_df_with_ge(
-    df,
-    metadata,
-    result: ValidatorResult,
-    result_format="BASIC",
-    ignore_missing_cols=False,
-):
-    dfe = ge.dataset.PandasDataset(df)
-
-    # Skip cols that could not be cast properly
-    cols_to_skip = result.get_names_of_column_failures("test-type-conversion")
-
-    # Get cols to test
-    metacols = [
-        col
-        for col in metadata["columns"]
-        if col["name"] not in (metadata.get("partitions", []) + cols_to_skip)
-    ]
-    metacol_names = [c["name"] for c in metacols]
-    header_tests = validate_headers(df, metacol_names, ignore_missing_cols)
-    result.add_table_test("validator-table-test-header", header_tests)
-
-    for c in metacols:
-        if c["name"] in list(df.columns):
-            column_validation(dfe, c, result, result_format)
-
-
-def validate_headers(df, metacols, ignore_missing_cols=False):
-    extra_info = {}
-    df_cols = list(df.columns)
-    full_match = metacols == df_cols
-    df_extra = set(df_cols).difference(metacols)
-    df_missing = set(metacols).difference(df_cols)
-
-    overall_pass = (not df_extra) if ignore_missing_cols else full_match
-
-    if not overall_pass:
-        if df_missing and not ignore_missing_cols:
-            err_msg1 = f"data missing headers: {df_missing}"
-            log.error(err_msg1, extra={"context": "VALIDATION"})
-
-        if df_extra:
-            err_msg2 = f"data has extra columns: {df_extra}"
-            log.error(err_msg2, extra={"context": "VALIDATION"})
-
-        extra_info["missing"] = list(df_missing)
-        extra_info["extra"] = list(df_extra)
-
-    return {"success": overall_pass, "details": extra_info}
-
-
-def column_validation(dfe, metacol, result: ValidatorResult, result_format):
-    n = metacol["name"]
-
-    # unique test
-    if metacol.get("unique"):
-        result.add_test_to_col(n, "unique", ge_unique_test(dfe, n, result_format))
-
-    # nullable test
-    if not metacol.get("nullable", True):
-        result.add_test_to_col(n, "nullable", ge_nullable_test(dfe, n, result_format))
-
-    if metacol["type"].startswith("date") or metacol["type"].startswith("timestamp"):
-        result.add_test_to_col(
-            n,
-            "datetime-format",
-            ge_test_datetime_format(
-                dfe, n, metacol["type"], metacol.get("format"), result_format
-            ),
-        )
-
-    # min / max numerical test
-    mi = metacol.get("minimum")
-    ma = metacol.get("maximum")
-    if mi or ma:
-        result.add_test_to_col(
-            n, "min-max", ge_min_max_test(dfe, n, mi, ma, result_format)
-        )
-
-    # pattern/regex test
-    if metacol.get("pattern"):
-        result.add_test_to_col(
-            n, "pattern", ge_pattern_test(dfe, n, metacol.get("pattern"), result_format)
-        )
-
-    # enum test
-    if metacol.get("enum"):
-        result.add_test_to_col(
-            n, "enum", ge_enum_test(dfe, n, metacol.get("enum"), result_format)
-        )
-
-    # min / max length test
-    mil = metacol.get("minLength")
-    mal = metacol.get("maxLength")
-    if mil or mal:
-        result.add_test_to_col(
-            n, "min-max-length", ge_min_max_length_test(dfe, n, mil, mal, result_format)
-        )
-
-
-def ge_test_datetime_format(dfe, colname, coltype, date_format, result_format=None):
-    if date_format is None:
-        date_format = "%Y-%m-%d" if coltype.startswith("date") else "%Y-%m-%d %H:%M:%S"
-    result = dfe.expect_column_values_to_match_strftime_format(
-        colname,
-        strftime_format=date_format,
-        result_format={"result_format": result_format},
-    )
-    if not result.success:
-        log.error(
-            f"col: {colname} not between min/max length values",
-            extra={"context": "VALIDATION"},
-        )
-    return result.to_json_dict()
-
-
-def ge_min_max_length_test(dfe, colname, min_length, max_length, result_format=None):
-    result = dfe.expect_column_value_lengths_to_be_between(
-        colname,
-        min_value=min_length,
-        max_value=max_length,
-        result_format={"result_format": result_format},
-    )
-    if not result.success:
-        log.error(
-            f"col: {colname} not between min/max length values",
-            extra={"context": "VALIDATION"},
-        )
-    return result.to_json_dict()
-
-
-def ge_enum_test(dfe, colname, enum, result_format=None):
-    result = dfe.expect_column_values_to_be_in_set(
-        colname, value_set=enum, result_format={"result_format": result_format}
-    )
-    if not result.success:
-        log.error(
-            f"col: {colname} has values outside of enum set",
-            extra={"context": "VALIDATION"},
-        )
-    return result.to_json_dict()
-
-
-def ge_pattern_test(dfe, colname, pattern, result_format=None):
-    result = dfe.expect_column_values_to_match_regex(
-        colname, regex=pattern, result_format={"result_format": result_format}
-    )
-    if not result.success:
-        log.error(
-            f"col: {colname} did not match regex pattern",
-            extra={"context": "VALIDATION"},
-        )
-    return result.to_json_dict()
-
-
-def ge_min_max_test(dfe, colname, minimum, maximum, result_format=None):
-
-    result = dfe.expect_column_values_to_be_between(
-        colname,
-        min_value=minimum,
-        max_value=maximum,
-        result_format={"result_format": result_format},
-    )
-    if not result.success:
-        log.error(
-            f"col: {colname} not between min/max values",
-            extra={"context": "VALIDATION"},
-        )
-    return result.to_json_dict()
-
-
-def ge_unique_test(dfe, colname, result_format=None):
-    result = dfe.expect_column_values_to_be_unique(
-        colname, result_format={"result_format": result_format}
-    )
-    if not result.success:
-        log.error(f"col: {colname} not unique", extra={"context": "VALIDATION"})
-    return result.to_json_dict()
-
-
-def ge_nullable_test(dfe, colname, result_format=None):
-    result = dfe.expect_column_values_to_not_be_null(
-        colname, result_format={"result_format": result_format}
-    )
-    if not result.success:
-        log.error(f"col: {colname} contains nulls", extra={"context": "VALIDATION"})
-    return result.to_json_dict()
diff --git a/data_linter/validators/pandas_validator.py b/data_linter/validators/pandas_validator.py
index 8410edb..fca3563 100644
--- a/data_linter/validators/pandas_validator.py
+++ b/data_linter/validators/pandas_validator.py
@@ -1,16 +1,16 @@
 import logging
 import inspect
+import traceback
+
 from functools import wraps
 from datetime import datetime
+from mojap_metadata import Metadata
 from typing import Union
 
 import pandas as pd
-import awswrangler as wr
 
-from arrow_pd_parser.parse import (
-    cast_pandas_column_to_schema,
-    pa_read_parquet_to_pandas,
-)
+from arrow_pd_parser import reader
+from arrow_pd_parser.caster import cast_pandas_table_to_schema
 
 from data_linter.validators.base import (
     BaseTableValidator,
@@ -21,6 +21,10 @@
 default_datetime_format = "%Y-%m-%d %H:%M:%S"
 
 
+class ColumnError(Exception):
+    pass
+
+
 class PandasValidator(BaseTableValidator):
     """
     Validator using Pandas
@@ -31,10 +35,12 @@ def __init__(
         filepath: str,
         table_params: dict,
         metadata: dict,
-        ignore_missing_cols=False,
+        log_verbosity: int = None,
+        ignore_missing_cols: bool = False,
     ):
         super().__init__(filepath, table_params, metadata)
-
+        global global_log_verbosity
+        global_log_verbosity = table_params.get("log_verbosity", log_verbosity)
         self.ignore_missing_cols = ignore_missing_cols
 
     @property
@@ -58,27 +64,30 @@ def read_data_and_validate(self):
 
         Data is read using pd_arrow_parser.
         """
-
-        df = _parse_data_to_pandas(self.filepath, self.table_params, self.metadata)
-        self.validate_df(df)
+        fail_response_dict = {self.response.vvkn: False}
+        try:
+            df, self.metadata = _parse_data_to_pandas(
+                self.filepath, self.table_params, self.metadata
+            )
+        except Exception:
+            traceback_message = traceback.format_exc()
+            fail_response_dict["traceback"] = traceback_message
+            self.response.add_table_test("parse_data_to_pandas", fail_response_dict)
+            log.error(traceback_message)
+            df = None
+
+        if df is not None:
+            try:
+                self.validate_df(df)
+            except Exception:
+                self.response.add_table_test("overall_validation", fail_response_dict)
+                log.error(traceback.format_exc())
 
     def get_response_dict(self):
         return self.response.get_result()
 
     def validate_df(self, df):
-
-        meta_cols = [col for col in self.metadata["columns"] if col["name"] in df]
-
-        cols_not_tested = [
-            col for col in self.metadata["columns"] if col["name"] not in df
-        ]
-        if cols_not_tested:
-            log.info(
-                "some columns will not be tested as not present in metadata: "
-                f"{cols_not_tested}"
-            )
-
-        for m in meta_cols:
+        for m in self.metadata["columns"]:
             self.validate_col(df[m["name"]], m)
 
     def validate_col(self, col, meta_col):
@@ -345,18 +354,35 @@ def _result_dict(test_name: str, test_inputs: dict) -> dict:
     return d
 
 
-def _fill_res_dict(col, col_oob, res_dict) -> dict:
+def _fill_res_dict(col: pd.Series, col_oob: pd.Series, res_dict: dict) -> dict:
 
     valid = not col_oob.any()
     res_dict["valid"] = valid
 
     if not valid:
         col_oob = col_oob.fillna(False)
-        unexpected_index_list = col_oob.index[col_oob].tolist()
-        unexpected_list = col[unexpected_index_list].tolist()
-
-        res_dict["unexpected_index_list"] = unexpected_index_list
-        res_dict["unexpected_list"] = unexpected_list
+        n = global_log_verbosity
+
+        # get the unexpected values
+        unexpected_index = col_oob.index[col_oob]
+        unexpected_values = col[unexpected_index].astype(str)
+
+        res_dict["percentage_of_column_is_error"] = (
+            len(unexpected_index) / len(col) * 100
+        )
+
+        if n is not None:
+            # if the global_log_verbosity is not 0, sample
+            if n != 0:
+                # asking for a higher sample than is there?
+                if global_log_verbosity > len(unexpected_values):
+                    n = len(unexpected_values)
+                # sample the requested amount
+                unexpected_values = unexpected_values.sample(n=n)
+                unexpected_index = unexpected_values[unexpected_values.index]
+            # log the required unexpected values
+            res_dict["unexpected_index_sample"] = unexpected_index.tolist()
+            res_dict["unexpected_values_sample"] = unexpected_values.tolist()
 
     return res_dict
 
@@ -386,24 +412,22 @@ def _parse_data_to_pandas(filepath: str, table_params: dict, metadata: dict):
     a dataframe
     """
 
-    data_is_not_parquet = True
-
-    # Set the reader type
-    if filepath.startswith("s3://"):
-        reader = wr.s3
-    else:
-        reader = pd
-
-    # read the data
-    if "csv" in metadata["file_format"]:
-        df = reader.read_csv(filepath, dtype=str, low_memory=False)
-    elif "json" in metadata["file_format"]:
-        df = reader.read_json(filepath, lines=True)
-    elif "parquet" in metadata["file_format"]:
-        df = pa_read_parquet_to_pandas(filepath)
-        data_is_not_parquet = False
+    # get the required sets of column names
+    meta_col_names = [
+        c["name"]
+        for c in metadata["columns"]
+        if c["name"] not in metadata.get("partitions", [])
+    ]
+
+    # read data (and do headers stuff if csv)
+    if filepath.lower().endswith("csv"):
+        expect_header = table_params.get("expect-header", True)
+        header = 0 if expect_header else None
+        df = reader.read(filepath, header=header)
+        if not expect_header:
+            df.columns = meta_col_names
     else:
-        raise ValueError(f"Unknown file_format in metadata: {metadata['file_format']}.")
+        df = reader.read(filepath)
 
     # eliminate case sensitivity, if requested
     if table_params.get("headers-ignore-case"):
@@ -411,25 +435,54 @@ def _parse_data_to_pandas(filepath: str, table_params: dict, metadata: dict):
             c["name"] = c["name"].lower()
         df.columns = [c.lower() for c in df.columns]
 
-    # cast table column by column if it's not parquet, except timestamps
-    if data_is_not_parquet:
-        for c in metadata["columns"]:
-            if not c["type_category"].startswith("timestamp"):
-                df[c["name"]] = cast_pandas_column_to_schema(df[c["name"]], metacol=c)
-
+    allow_missing_cols = table_params.get("allow-missing-cols", False)
+    allow_unexpected_data = table_params.get("allow-unexpected-data", False)
+
+    cols_in_meta_but_not_data = [c for c in meta_col_names if c not in df.columns]
+    cols_in_data_but_not_meta = [c for c in df.columns if c not in meta_col_names]
+    cols_in_data_and_meta = [c for c in df.columns if c in meta_col_names]
+
+    # error if there are no common columns
+    if not cols_in_data_and_meta:
+        raise ColumnError("There is no commonality between the data and metadata")
+
+    # this is so that both mitigations can be checked and both errors are made visible
+    raise_column_error = False
+    err_msg = ""
+
+    # remove columns from meta that aren't in the data if allowed
+    msg_1 = f"columns present in metadata but not in data: {cols_in_meta_but_not_data}"
+    if (not allow_missing_cols) and cols_in_meta_but_not_data:
+        err_msg += msg_1
+        raise_column_error = True
+    elif allow_missing_cols and cols_in_meta_but_not_data:
+        meta_tmp = Metadata.from_dict(metadata)
+        for col in cols_in_meta_but_not_data:
+            meta_tmp.remove_column(col)
+        metadata = meta_tmp.to_dict()
+        log.info("not testing " + msg_1)
+
+    # error if there is unexepcted data, unless allowed
+    msg_2 = f"columns present in data but not in metadata: {cols_in_data_but_not_meta}"
+    if (not allow_unexpected_data) and cols_in_data_but_not_meta:
+        err_msg += f"\n{msg_2}"
+        raise_column_error = True
+    elif allow_unexpected_data and cols_in_data_but_not_meta:
+        log.info("not testing " + msg_2)
+        df = df[cols_in_data_and_meta]
+
+    # raise the error with all details, if required
+    if raise_column_error:
+        raise ColumnError(err_msg)
+
+    # sample the data, if required
     if table_params.get("row-limit"):
         df = df.sample(table_params.get("row-limit"))
 
-    if table_params.get("only-test-cols-in-metadata", False):
-        meta_col_names = [
-            c["name"]
-            for c in metadata["columns"]
-            if c["name"] not in metadata.get("partitions", [])
-        ]
-        keep_cols = [c for c in df.columns if c in meta_col_names]
-        df = df[keep_cols]
+    if metadata["file_format"] not in ["parquet", "snappy.parquet"]:
+        df = cast_pandas_table_to_schema(df, metadata)
 
-    return df
+    return df, metadata
 
 
 def _check_pandas_series_is_str(s: pd.Series, na_as=True):
diff --git a/images/data_misalignment.png b/images/data_misalignment.png
new file mode 100644
index 0000000..fbe5ea8
Binary files /dev/null and b/images/data_misalignment.png differ
diff --git a/log_explorer.ipynb b/log_explorer.ipynb
new file mode 100644
index 0000000..5ce9c42
--- /dev/null
+++ b/log_explorer.ipynb
@@ -0,0 +1,140 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "ba9515d1",
+   "metadata": {},
+   "source": [
+    "# data_linter log explorer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b40b156c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# required import\n",
+    "from data_linter.log_explorer_utils import summary_of_all_tables, get_failed_files, get_all_errors_for_file"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2a31aa96",
+   "metadata": {},
+   "source": [
+    "please specify a table (if any) and the config path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1bfe6a3e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "config_path = \"config.yaml\" # required\n",
+    "table_name = \"all_types\" # optional"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f5827d22",
+   "metadata": {},
+   "source": [
+    "### summary of all tables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e183c774",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "summary_of_all_tables(config_path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "12835dea",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "### get failed files from specified table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a2d304e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "get_failed_files(config_path, table_name=table_name)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0d36fd4f",
+   "metadata": {},
+   "source": [
+    "### get all failed files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5a01e2db",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "get_failed_files(config_path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7cd89a28",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "### get errors for specific land file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "22c3bd21",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "land_file = \"s3://replace/me/please.csv\"\n",
+    "get_all_errors_for_file(config_path, land_path)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/poetry.lock b/poetry.lock
index 8cf6742..748ddf3 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,75 +1,24 @@
-[[package]]
-name = "altair"
-version = "4.1.0"
-description = "Altair: A declarative statistical visualization library for Python."
-category = "main"
-optional = true
-python-versions = ">=3.6"
-
-[package.dependencies]
-entrypoints = "*"
-jinja2 = "*"
-jsonschema = "*"
-numpy = "*"
-pandas = ">=0.18"
-toolz = "*"
-
-[package.extras]
-dev = ["black", "docutils", "ipython", "flake8", "pytest", "sphinx", "m2r", "vega-datasets", "recommonmark"]
-
-[[package]]
-name = "appdirs"
-version = "1.4.4"
-description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
-category = "main"
-optional = true
-python-versions = "*"
-
-[[package]]
-name = "appnope"
-version = "0.1.2"
-description = "Disable App Nap on macOS >= 10.9"
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "argon2-cffi"
-version = "20.1.0"
-description = "The secure Argon2 password hashing algorithm."
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-cffi = ">=1.0.0"
-six = "*"
-
-[package.extras]
-dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest", "sphinx", "wheel", "pre-commit"]
-docs = ["sphinx"]
-tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"]
-
 [[package]]
 name = "arrow-pd-parser"
-version = "0.4.1"
+version = "1.0.2"
 description = "MoJ arrow-pd-parser"
 category = "main"
 optional = false
-python-versions = ">=3.7.1,<=3.9"
+python-versions = ">=3.7.1,<3.10"
 
 [package.dependencies]
-mojap-metadata = {version = ">=1.1.1,<2.0.0", extras = ["arrow"]}
-pandas = ">=1.2,<2.0"
-pyarrow = ">=2.0.0,<4.0.0"
+awswrangler = ">=2.3.0,<3.0.0"
+mojap-metadata = {version = ">=1.2.2,<2.0.0", extras = ["arrow"]}
+pandas = ">=1.2"
+pyarrow = ">=5.0.0"
 
 [[package]]
-name = "async-generator"
-version = "1.10"
-description = "Async generators and context managers for Python 3.5+"
+name = "asn1crypto"
+version = "1.4.0"
+description = "Fast ASN.1 parser and serializer with definitions for private keys, public keys, certificates, CRL, OCSP, CMS, PKCS#3, PKCS#7, PKCS#8, PKCS#12, PKCS#5, X.509 and TSP"
 category = "main"
 optional = false
-python-versions = ">=3.5"
+python-versions = "*"
 
 [[package]]
 name = "atomicwrites"
@@ -81,21 +30,21 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "attrs"
-version = "20.3.0"
+version = "21.2.0"
 description = "Classes Without Boilerplate"
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [package.extras]
-dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface", "furo", "sphinx", "pre-commit"]
-docs = ["furo", "sphinx", "zope.interface"]
-tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface"]
-tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six"]
+dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit"]
+docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface"]
+tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins"]
 
 [[package]]
 name = "aws-sam-translator"
-version = "1.35.0"
+version = "1.39.0"
 description = "AWS SAM Translator is a library that transform SAM templates into AWS CloudFormation templates"
 category = "dev"
 optional = false
@@ -107,7 +56,7 @@ jsonschema = ">=3.2,<4.0"
 six = ">=1.15,<2.0"
 
 [package.extras]
-dev = ["coverage (>=5.3,<6.0)", "flake8 (>=3.8.4,<3.9.0)", "tox (>=3.20.1,<3.21.0)", "pytest-cov (>=2.10.1,<2.11.0)", "pylint (>=1.7.2,<2.0)", "pyyaml (>=5.3.1,<5.4.0)", "mock (>=3.0.5,<4.0.0)", "parameterized (>=0.7.4,<0.8.0)", "click (>=7.1,<8.0)", "dateparser (>=0.7,<1.0)", "requests (>=2.24.0,<2.25.0)", "docopt (>=0.6.2,<0.7.0)", "pathlib2 (>=2.3.5)", "pytest (>=4.6.11,<4.7.0)", "pytest (>=6.1.1,<6.2.0)", "black (==20.8b1)"]
+dev = ["coverage (>=5.3,<6.0)", "flake8 (>=3.8.4,<3.9.0)", "tox (>=3.20.1,<3.21.0)", "pytest-cov (>=2.10.1,<2.11.0)", "pylint (>=1.7.2,<2.0)", "pyyaml (>=5.4,<6.0)", "mock (>=3.0.5,<4.0.0)", "parameterized (>=0.7.4,<0.8.0)", "click (>=7.1,<8.0)", "dateparser (>=0.7,<1.0)", "boto3 (>=1.17,<2.0)", "requests (>=2.24.0,<2.25.0)", "docopt (>=0.6.2,<0.7.0)", "pathlib2 (>=2.3.5)", "pytest (>=4.6.11,<4.7.0)", "pytest (>=6.1.1,<6.2.0)", "black (==20.8b1)"]
 
 [[package]]
 name = "aws-xray-sdk"
@@ -124,85 +73,41 @@ wrapt = "*"
 
 [[package]]
 name = "awswrangler"
-version = "2.3.0"
+version = "2.11.0"
 description = "Pandas on AWS."
 category = "main"
-optional = true
-python-versions = ">=3.6, <3.9"
+optional = false
+python-versions = ">=3.6.2,<3.10"
 
 [package.dependencies]
-boto3 = ">=1.12.49,<2.0.0"
-botocore = ">=1.15.49,<2.0.0"
-numpy = ">=1.18.0,<1.20.0"
+boto3 = ">=1.16.8,<2.0.0"
+botocore = ">=1.19.8,<2.0.0"
+numpy = ">=1.18.0,<2.0.0"
 openpyxl = ">=3.0.0,<3.1.0"
-pandas = ">=1.1.0,<=1.2.0"
-pg8000 = ">=1.16.0,<1.17.0"
-pyarrow = ">=2.0.0,<2.1.0"
+pandas = {version = ">=1.2.0,<2.0.0", markers = "python_full_version >= \"3.7.1\" and python_full_version < \"4.0.0\""}
+pg8000 = ">=1.16.0,<1.22.0"
+pyarrow = ">=2.0.0,<5.1.0"
 pymysql = ">=0.9.0,<1.1.0"
-redshift-connector = ">=2.0.0,<2.1.0"
+redshift-connector = ">=2.0.884,<2.1.0"
 
 [package.extras]
 sqlserver = ["pyodbc (>=4.0.30,<4.1.0)"]
 
-[[package]]
-name = "backcall"
-version = "0.2.0"
-description = "Specifications for callback functions passed in to an API"
-category = "main"
-optional = false
-python-versions = "*"
-
 [[package]]
 name = "beautifulsoup4"
-version = "4.9.3"
+version = "4.10.0"
 description = "Screen-scraping library"
 category = "main"
-optional = true
-python-versions = "*"
+optional = false
+python-versions = ">3.0.0"
 
 [package.dependencies]
-soupsieve = {version = ">1.2", markers = "python_version >= \"3.0\""}
+soupsieve = ">1.2"
 
 [package.extras]
 html5lib = ["html5lib"]
 lxml = ["lxml"]
 
-[[package]]
-name = "black"
-version = "21.4b2"
-description = "The uncompromising code formatter."
-category = "main"
-optional = true
-python-versions = ">=3.6.2"
-
-[package.dependencies]
-appdirs = "*"
-click = ">=7.1.2"
-mypy-extensions = ">=0.4.3"
-pathspec = ">=0.8.1,<1"
-regex = ">=2020.1.8"
-toml = ">=0.10.1"
-typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\""}
-typing-extensions = {version = ">=3.7.4", markers = "python_version < \"3.8\""}
-
-[package.extras]
-colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.3.2)", "aiohttp-cors"]
-python2 = ["typed-ast (>=1.4.2)"]
-
-[[package]]
-name = "bleach"
-version = "3.3.0"
-description = "An easy safelist-based HTML-sanitizing tool."
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-
-[package.dependencies]
-packaging = "*"
-six = ">=1.9.0"
-webencodings = "*"
-
 [[package]]
 name = "boto"
 version = "2.49.0"
@@ -213,24 +118,27 @@ python-versions = "*"
 
 [[package]]
 name = "boto3"
-version = "1.17.61"
+version = "1.18.53"
 description = "The AWS SDK for Python"
 category = "main"
 optional = false
-python-versions = ">= 2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">= 3.6"
 
 [package.dependencies]
-botocore = ">=1.20.61,<1.21.0"
+botocore = ">=1.21.53,<1.22.0"
 jmespath = ">=0.7.1,<1.0.0"
-s3transfer = ">=0.4.0,<0.5.0"
+s3transfer = ">=0.5.0,<0.6.0"
+
+[package.extras]
+crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.20.61"
+version = "1.21.53"
 description = "Low-level, data-driven core of boto 3."
 category = "main"
 optional = false
-python-versions = ">= 2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">= 3.6"
 
 [package.dependencies]
 jmespath = ">=0.7.1,<1.0.0"
@@ -238,11 +146,11 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = ">=1.25.4,<1.27"
 
 [package.extras]
-crt = ["awscrt (==0.11.11)"]
+crt = ["awscrt (==0.11.24)"]
 
 [[package]]
 name = "certifi"
-version = "2020.12.5"
+version = "2021.5.30"
 description = "Python package for providing Mozilla's CA Bundle."
 category = "main"
 optional = false
@@ -250,9 +158,9 @@ python-versions = "*"
 
 [[package]]
 name = "cffi"
-version = "1.14.5"
+version = "1.14.6"
 description = "Foreign Function Interface for Python calling C code."
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
@@ -261,48 +169,43 @@ pycparser = "*"
 
 [[package]]
 name = "cfn-lint"
-version = "0.49.0"
+version = "0.54.2"
 description = "Checks CloudFormation templates for practices and behaviour that could potentially be improved"
 category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [package.dependencies]
-aws-sam-translator = ">=1.35.0"
-jsonpatch = {version = "*", markers = "python_version != \"3.4\""}
+aws-sam-translator = ">=1.38.0"
+jsonpatch = "*"
 jsonschema = ">=3.0,<4.0"
 junit-xml = ">=1.9,<2.0"
 networkx = {version = ">=2.4,<3.0", markers = "python_version >= \"3.5\""}
-pyyaml = {version = ">=5.4", markers = "python_version != \"3.4\" and python_version != \"3.5\""}
+pyyaml = {version = ">5.4", markers = "python_version != \"3.5\""}
 six = ">=1.11"
 
 [[package]]
-name = "chardet"
-version = "3.0.4"
-description = "Universal encoding detector for Python 2 and 3"
+name = "charset-normalizer"
+version = "2.0.6"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.5.0"
 
-[[package]]
-name = "click"
-version = "7.1.2"
-description = "Composable command line interface toolkit"
-category = "main"
-optional = true
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+[package.extras]
+unicode_backport = ["unicodedata2"]
 
 [[package]]
 name = "colorama"
 version = "0.4.4"
 description = "Cross-platform colored terminal text."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [[package]]
 name = "cryptography"
-version = "3.4.7"
+version = "35.0.0"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 category = "dev"
 optional = false
@@ -315,9 +218,9 @@ cffi = ">=1.12"
 docs = ["sphinx (>=1.6.5,!=1.8.0,!=3.1.0,!=3.1.1)", "sphinx-rtd-theme"]
 docstest = ["doc8", "pyenchant (>=1.6.11)", "twine (>=1.12.0)", "sphinxcontrib-spelling (>=4.0.1)"]
 pep8test = ["black", "flake8", "flake8-import-order", "pep8-naming"]
-sdist = ["setuptools-rust (>=0.11.4)"]
+sdist = ["setuptools_rust (>=0.11.4)"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["pytest (>=6.0)", "pytest-cov", "pytest-subtests", "pytest-xdist", "pretend", "iso8601", "pytz", "hypothesis (>=1.11.4,!=3.79.2)"]
+test = ["pytest (>=6.2.0)", "pytest-cov", "pytest-subtests", "pytest-xdist", "pretend", "iso8601", "pytz", "hypothesis (>=1.11.4,!=3.79.2)"]
 
 [[package]]
 name = "dataengineeringutils3"
@@ -331,25 +234,9 @@ python-versions = ">=3.6,<4"
 boto3 = ">=1.10,<2.0.0"
 Deprecated = ">=1.2.12,<2.0.0"
 
-[[package]]
-name = "decorator"
-version = "5.0.7"
-description = "Decorators for Humans"
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
-[[package]]
-name = "defusedxml"
-version = "0.7.1"
-description = "XML bomb protection for Python stdlib modules"
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-
 [[package]]
 name = "deprecated"
-version = "1.2.12"
+version = "1.2.13"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 category = "main"
 optional = false
@@ -363,21 +250,20 @@ dev = ["tox", "bump2version (<1)", "sphinx (<2)", "importlib-metadata (<3)", "im
 
 [[package]]
 name = "docker"
-version = "4.2.2"
+version = "5.0.2"
 description = "A Python library for the Docker Engine API."
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.6"
 
 [package.dependencies]
-pypiwin32 = {version = "223", markers = "sys_platform == \"win32\" and python_version >= \"3.6\""}
+pywin32 = {version = "227", markers = "sys_platform == \"win32\""}
 requests = ">=2.14.2,<2.18.0 || >2.18.0"
-six = ">=1.4.0"
 websocket-client = ">=0.32.0"
 
 [package.extras]
 ssh = ["paramiko (>=2.4.2)"]
-tls = ["pyOpenSSL (>=17.5.0)", "cryptography (>=1.3.4)", "idna (>=2.0.0)"]
+tls = ["pyOpenSSL (>=17.5.0)", "cryptography (>=3.4.7)", "idna (>=2.0.0)"]
 
 [[package]]
 name = "ecdsa"
@@ -390,25 +276,17 @@ python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 [package.dependencies]
 six = "*"
 
-[[package]]
-name = "entrypoints"
-version = "0.3"
-description = "Discover and load entry points from installed packages."
-category = "main"
-optional = false
-python-versions = ">=2.7"
-
 [[package]]
 name = "et-xmlfile"
 version = "1.1.0"
 description = "An implementation of lxml.xmlfile for the standard library"
 category = "main"
-optional = true
+optional = false
 python-versions = ">=3.6"
 
 [[package]]
 name = "flake8"
-version = "3.9.1"
+version = "3.9.2"
 description = "the modular source code checker: pep8 pyflakes and co"
 category = "dev"
 optional = false
@@ -420,51 +298,6 @@ mccabe = ">=0.6.0,<0.7.0"
 pycodestyle = ">=2.7.0,<2.8.0"
 pyflakes = ">=2.3.0,<2.4.0"
 
-[[package]]
-name = "frictionless"
-version = "3.24.0"
-description = "Frictionless Framework is a framework to describe, extract, validate, and transform tabular data"
-category = "main"
-optional = true
-python-versions = "*"
-
-[package.dependencies]
-chardet = ">=3.0"
-click = ">=6.6"
-ijson = ">=3.0"
-isodate = ">=0.6"
-jsonlines = ">=1.2"
-jsonschema = ">=2.5"
-openpyxl = ">=3.0"
-python-dateutil = ">=2.8"
-python-slugify = ">=1.2"
-pyyaml = ">=5.3"
-requests = ">=2.10"
-rfc3986 = ">=1.4"
-simpleeval = ">=0.9"
-simplejson = ">=3.10"
-stringcase = ">=1.2"
-tabulate = ">=0.8"
-unicodecsv = ">=0.14"
-xlrd = ">=1.2"
-xlwt = ">=1.2"
-
-[package.extras]
-aws = ["boto3 (>=1.9)"]
-bigquery = ["google-api-python-client (>=1.12.1)"]
-ckan = ["ckanapi (>=4.3)"]
-dataflows = ["dataflows (>=0.1)"]
-dev = ["mypy", "black", "pylama", "pytest", "pymysql", "psycopg2", "pytest-cov", "pydoc-markdown", "docstring-parser", "python-dotenv", "oauth2client", "responses", "coveralls", "nbconvert", "ipython", "jinja2", "gdown", "moto"]
-elastic = ["elasticsearch (>=7.0,<8.0)"]
-gsheet = ["google-api-python-client (>=1.5)"]
-html = ["pyquery (>=1.4)"]
-ods = ["ezodf (>=0.3)"]
-pandas = ["pandas (>=1.0)"]
-server = ["gunicorn (>=20.0)", "flask (>=1.1)"]
-spss = ["savReaderWriter (>=3.0)"]
-sql = ["sqlalchemy (>=1.3)"]
-tsv = ["linear-tsv (>=1.0)"]
-
 [[package]]
 name = "future"
 version = "0.18.2"
@@ -473,44 +306,6 @@ category = "dev"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 
-[[package]]
-name = "great-expectations"
-version = "0.12.9"
-description = "Always know what to expect from your data."
-category = "main"
-optional = true
-python-versions = "*"
-
-[package.dependencies]
-altair = ">=4.0.0,<5"
-black = ">=19.10b0"
-Click = ">=7.1.2"
-importlib-metadata = ">=1.7.0"
-ipywidgets = ">=7.5.1"
-jinja2 = ">=2.10"
-jsonpatch = ">=1.22"
-jsonschema = ">=2.5.1"
-mistune = ">=0.8.4"
-numpy = ">=1.14.1"
-pandas = ">=0.23.0"
-pyparsing = ">=2.4,<3"
-python-dateutil = ">=2.8.1"
-pytz = ">=2015.6"
-requests = ">=2.20,<2.24"
-"ruamel.yaml" = ">=0.15.24"
-scipy = ">=0.19.0"
-termcolor = ">=1.1.0"
-tzlocal = ">=1.2"
-
-[package.extras]
-airflow = ["apache-airflow[s3] (>=1.9.0)", "boto3 (>=1.7.3)"]
-gcp = ["google-cloud (>=0.34.0)", "google-cloud-storage (>=1.28.0)", "google-cloud-secret-manager (>=1.0.0)", "pybigquery (==0.4.15)"]
-redshift = ["psycopg2 (>=2.8)"]
-s3 = ["boto3 (>=1.14)"]
-snowflake = ["snowflake-sqlalchemy (>=1.2)"]
-spark = ["pyspark (>=2.3.2)"]
-sqlalchemy = ["sqlalchemy (>=1.2)"]
-
 [[package]]
 name = "iam-builder"
 version = "3.7.0"
@@ -531,17 +326,9 @@ category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
-[[package]]
-name = "ijson"
-version = "3.1.4"
-description = "Iterative JSON parser with standard Python iterator interfaces"
-category = "main"
-optional = true
-python-versions = "*"
-
 [[package]]
 name = "importlib-metadata"
-version = "4.0.1"
+version = "4.8.1"
 description = "Read metadata from Python packages"
 category = "main"
 optional = false
@@ -553,115 +340,22 @@ zipp = ">=0.5"
 
 [package.extras]
 docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
-testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"]
+perf = ["ipython"]
+testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"]
 
 [[package]]
-name = "ipykernel"
-version = "5.5.3"
-description = "IPython Kernel for Jupyter"
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
-[package.dependencies]
-appnope = {version = "*", markers = "platform_system == \"Darwin\""}
-ipython = ">=5.0.0"
-jupyter-client = "*"
-tornado = ">=4.2"
-traitlets = ">=4.1.0"
-
-[package.extras]
-test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "jedi (<=0.17.2)"]
-
-[[package]]
-name = "ipython"
-version = "7.22.0"
-description = "IPython: Productive Interactive Computing"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.dependencies]
-appnope = {version = "*", markers = "sys_platform == \"darwin\""}
-backcall = "*"
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-decorator = "*"
-jedi = ">=0.16"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
-pickleshare = "*"
-prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0"
-pygments = "*"
-traitlets = ">=4.2"
-
-[package.extras]
-all = ["Sphinx (>=1.3)", "ipykernel", "ipyparallel", "ipywidgets", "nbconvert", "nbformat", "nose (>=0.10.1)", "notebook", "numpy (>=1.16)", "pygments", "qtconsole", "requests", "testpath"]
-doc = ["Sphinx (>=1.3)"]
-kernel = ["ipykernel"]
-nbconvert = ["nbconvert"]
-nbformat = ["nbformat"]
-notebook = ["notebook", "ipywidgets"]
-parallel = ["ipyparallel"]
-qtconsole = ["qtconsole"]
-test = ["nose (>=0.10.1)", "requests", "testpath", "pygments", "nbformat", "ipykernel", "numpy (>=1.16)"]
-
-[[package]]
-name = "ipython-genutils"
-version = "0.2.0"
-description = "Vestigial utilities from IPython"
-category = "main"
+name = "iniconfig"
+version = "1.1.1"
+description = "iniconfig: brain-dead simple config-ini parsing"
+category = "dev"
 optional = false
 python-versions = "*"
 
-[[package]]
-name = "ipywidgets"
-version = "7.6.3"
-description = "IPython HTML widgets for Jupyter"
-category = "main"
-optional = true
-python-versions = "*"
-
-[package.dependencies]
-ipykernel = ">=4.5.1"
-ipython = {version = ">=4.0.0", markers = "python_version >= \"3.3\""}
-jupyterlab-widgets = {version = ">=1.0.0", markers = "python_version >= \"3.6\""}
-nbformat = ">=4.2.0"
-traitlets = ">=4.3.1"
-widgetsnbextension = ">=3.5.0,<3.6.0"
-
-[package.extras]
-test = ["pytest (>=3.6.0)", "pytest-cov", "mock"]
-
-[[package]]
-name = "isodate"
-version = "0.6.0"
-description = "An ISO 8601 date/time/duration parser and formatter"
-category = "main"
-optional = true
-python-versions = "*"
-
-[package.dependencies]
-six = "*"
-
-[[package]]
-name = "jedi"
-version = "0.18.0"
-description = "An autocompletion tool for Python that can be used for text editors."
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-parso = ">=0.8.0,<0.9.0"
-
-[package.extras]
-qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<6.0.0)"]
-
 [[package]]
 name = "jinja2"
 version = "2.11.3"
 description = "A very fast and expressive template engine."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
@@ -679,17 +373,6 @@ category = "main"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 
-[[package]]
-name = "json5"
-version = "0.9.5"
-description = "A Python implementation of the JSON5 data format."
-category = "dev"
-optional = false
-python-versions = "*"
-
-[package.extras]
-dev = ["hypothesis"]
-
 [[package]]
 name = "jsondiff"
 version = "1.3.0"
@@ -698,19 +381,11 @@ category = "dev"
 optional = false
 python-versions = "*"
 
-[[package]]
-name = "jsonlines"
-version = "2.0.0"
-description = "Library with helpers for the jsonlines file format"
-category = "main"
-optional = true
-python-versions = ">=3.6"
-
 [[package]]
 name = "jsonpatch"
 version = "1.32"
 description = "Apply JSON-Patches (RFC 6902)"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
@@ -721,7 +396,7 @@ jsonpointer = ">=1.9"
 name = "jsonpointer"
 version = "2.1"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
@@ -754,99 +429,12 @@ python-versions = "*"
 [package.dependencies]
 six = "*"
 
-[[package]]
-name = "jupyter-client"
-version = "6.2.0"
-description = "Jupyter protocol implementation and client libraries"
-category = "main"
-optional = false
-python-versions = ">=3.6.1"
-
-[package.dependencies]
-jupyter-core = ">=4.6.0"
-nest-asyncio = ">=1.5"
-python-dateutil = ">=2.1"
-pyzmq = ">=13"
-tornado = ">=4.1"
-traitlets = "*"
-
-[package.extras]
-doc = ["sphinx (>=1.3.6)", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
-test = ["async-generator", "ipykernel", "ipython", "mock", "pytest-asyncio", "pytest-timeout", "pytest", "mypy", "pre-commit", "jedi (<0.18)"]
-
-[[package]]
-name = "jupyter-core"
-version = "4.7.1"
-description = "Jupyter core package. A base package on which Jupyter projects rely."
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\""}
-traitlets = "*"
-
-[[package]]
-name = "jupyterlab"
-version = "2.3.1"
-description = "The JupyterLab notebook server extension."
-category = "dev"
-optional = false
-python-versions = ">=3.5"
-
-[package.dependencies]
-jinja2 = ">=2.10"
-jupyterlab-server = ">=1.1.5,<2.0"
-notebook = ">=4.3.1"
-tornado = "<6.0.0 || >6.0.0,<6.0.1 || >6.0.1,<6.0.2 || >6.0.2"
-
-[package.extras]
-docs = ["jsx-lexer", "recommonmark", "sphinx", "sphinx-rtd-theme", "sphinx-copybutton"]
-test = ["pytest", "pytest-check-links", "requests", "wheel", "virtualenv"]
-
-[[package]]
-name = "jupyterlab-pygments"
-version = "0.1.2"
-description = "Pygments theme using JupyterLab CSS variables"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-pygments = ">=2.4.1,<3"
-
-[[package]]
-name = "jupyterlab-server"
-version = "1.2.0"
-description = "JupyterLab Server"
-category = "dev"
-optional = false
-python-versions = ">=3.5"
-
-[package.dependencies]
-jinja2 = ">=2.10"
-json5 = "*"
-jsonschema = ">=3.0.1"
-notebook = ">=4.2.0"
-requests = "*"
-
-[package.extras]
-test = ["pytest", "requests"]
-
-[[package]]
-name = "jupyterlab-widgets"
-version = "1.0.0"
-description = "A JupyterLab extension."
-category = "main"
-optional = true
-python-versions = ">=3.6"
-
 [[package]]
 name = "lxml"
 version = "4.6.3"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 category = "main"
-optional = true
+optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, != 3.4.*"
 
 [package.extras]
@@ -859,7 +447,7 @@ source = ["Cython (>=0.29.7)"]
 name = "markupsafe"
 version = "1.1.1"
 description = "Safely add untrusted strings to HTML/XML markup."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
 
@@ -871,14 +459,6 @@ category = "dev"
 optional = false
 python-versions = "*"
 
-[[package]]
-name = "mistune"
-version = "0.8.4"
-description = "The fastest markdown parser in pure Python"
-category = "main"
-optional = false
-python-versions = "*"
-
 [[package]]
 name = "mock"
 version = "4.0.3"
@@ -894,25 +474,25 @@ test = ["pytest (<5.4)", "pytest-cov"]
 
 [[package]]
 name = "mojap-metadata"
-version = "1.1.1"
+version = "1.2.2"
 description = "A python package to manage metadata"
 category = "main"
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = ">=3.7,<4"
 
 [package.dependencies]
 jsonschema = ">=3.0.0"
 parameterized = ">=0.7.0,<0.8.0"
-pyarrow = {version = ">=2.0.0,<4.0.0", optional = true, markers = "extra == \"arrow\""}
-PyYAML = ">=5,<6"
+pyarrow = {version = ">=3.0.0", optional = true, markers = "extra == \"arrow\""}
+PyYAML = ">=5.4.1"
 
 [package.extras]
-arrow = ["pyarrow (>=2.0.0,<4.0.0)"]
+arrow = ["pyarrow (>=3.0.0)"]
 etl-manager = ["etl-manager (>=7.4,<8.0)"]
 
 [[package]]
 name = "more-itertools"
-version = "8.7.0"
+version = "8.10.0"
 description = "More routines for operating on iterables, beyond itertools"
 category = "dev"
 optional = false
@@ -948,6 +528,7 @@ PyYAML = ">=5.1"
 requests = ">=2.5"
 responses = ">=0.9.0"
 six = ">1.9"
+sshpubkeys = {version = ">=3.1.0", markers = "python_version > \"3\""}
 werkzeug = "*"
 xmltodict = "*"
 zipp = "*"
@@ -966,196 +547,66 @@ s3 = ["cryptography (>=2.3.0)"]
 server = ["cryptography (>=2.3.0)", "PyYAML (>=5.1)", "python-jose[cryptography] (>=3.1.0,<4.0.0)", "ecdsa (<0.15)", "docker (>=2.5.1)", "jsondiff (>=1.1.2)", "aws-xray-sdk (>=0.93,!=0.96)", "idna (>=2.5,<3)", "cfn-lint (>=0.4.0)", "flask", "sshpubkeys (>=3.1.0,<4.0)", "sshpubkeys (>=3.1.0)"]
 xray = ["aws-xray-sdk (>=0.93,!=0.96)"]
 
-[[package]]
-name = "mypy-extensions"
-version = "0.4.3"
-description = "Experimental type system extensions for programs checked with the mypy typechecker."
-category = "main"
-optional = true
-python-versions = "*"
-
-[[package]]
-name = "nbclient"
-version = "0.5.3"
-description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
-category = "main"
-optional = false
-python-versions = ">=3.6.1"
-
-[package.dependencies]
-async-generator = "*"
-jupyter-client = ">=6.1.5"
-nbformat = ">=5.0"
-nest-asyncio = "*"
-traitlets = ">=4.2"
-
-[package.extras]
-dev = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "bumpversion", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"]
-sphinx = ["Sphinx (>=1.7)", "sphinx-book-theme", "mock", "moto", "myst-parser"]
-test = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "bumpversion", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"]
-
-[[package]]
-name = "nbconvert"
-version = "6.0.7"
-description = "Converting Jupyter Notebooks"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-bleach = "*"
-defusedxml = "*"
-entrypoints = ">=0.2.2"
-jinja2 = ">=2.4"
-jupyter-core = "*"
-jupyterlab-pygments = "*"
-mistune = ">=0.8.1,<2"
-nbclient = ">=0.5.0,<0.6.0"
-nbformat = ">=4.4"
-pandocfilters = ">=1.4.1"
-pygments = ">=2.4.1"
-testpath = "*"
-traitlets = ">=4.2"
-
-[package.extras]
-all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.2)", "tornado (>=4.0)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
-docs = ["sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
-serve = ["tornado (>=4.0)"]
-test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.2)"]
-webpdf = ["pyppeteer (==0.2.2)"]
-
-[[package]]
-name = "nbformat"
-version = "5.1.3"
-description = "The Jupyter Notebook format"
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
-[package.dependencies]
-ipython-genutils = "*"
-jsonschema = ">=2.4,<2.5.0 || >2.5.0"
-jupyter-core = "*"
-traitlets = ">=4.1"
-
-[package.extras]
-fast = ["fastjsonschema"]
-test = ["check-manifest", "fastjsonschema", "testpath", "pytest", "pytest-cov"]
-
-[[package]]
-name = "nest-asyncio"
-version = "1.5.1"
-description = "Patch asyncio to allow nested event loops"
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
 [[package]]
 name = "networkx"
-version = "2.5"
+version = "2.6.3"
 description = "Python package for creating and manipulating graphs and networks"
 category = "dev"
 optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-decorator = ">=4.3.0"
-
-[package.extras]
-all = ["numpy", "scipy", "pandas", "matplotlib", "pygraphviz", "pydot", "pyyaml", "lxml", "pytest"]
-gdal = ["gdal"]
-lxml = ["lxml"]
-matplotlib = ["matplotlib"]
-numpy = ["numpy"]
-pandas = ["pandas"]
-pydot = ["pydot"]
-pygraphviz = ["pygraphviz"]
-pytest = ["pytest"]
-pyyaml = ["pyyaml"]
-scipy = ["scipy"]
-
-[[package]]
-name = "notebook"
-version = "6.3.0"
-description = "A web-based notebook environment for interactive computing"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-argon2-cffi = "*"
-ipykernel = "*"
-ipython-genutils = "*"
-jinja2 = "*"
-jupyter-client = ">=5.3.4"
-jupyter-core = ">=4.6.1"
-nbconvert = "*"
-nbformat = "*"
-prometheus-client = "*"
-pyzmq = ">=17"
-Send2Trash = ">=1.5.0"
-terminado = ">=0.8.3"
-tornado = ">=6.1"
-traitlets = ">=4.2.1"
+python-versions = ">=3.7"
 
 [package.extras]
-docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme"]
-json-logging = ["json-logging"]
-test = ["pytest", "coverage", "requests", "nbval", "selenium", "pytest-cov", "requests-unixsocket"]
+default = ["numpy (>=1.19)", "scipy (>=1.5,!=1.6.1)", "matplotlib (>=3.3)", "pandas (>=1.1)"]
+developer = ["black (==21.5b1)", "pre-commit (>=2.12)"]
+doc = ["sphinx (>=4.0,<5.0)", "pydata-sphinx-theme (>=0.6,<1.0)", "sphinx-gallery (>=0.9,<1.0)", "numpydoc (>=1.1)", "pillow (>=8.2)", "nb2plots (>=0.6)", "texext (>=0.6.6)"]
+extra = ["lxml (>=4.5)", "pygraphviz (>=1.7)", "pydot (>=1.4.1)"]
+test = ["pytest (>=6.2)", "pytest-cov (>=2.12)", "codecov (>=2.1)"]
 
 [[package]]
 name = "numpy"
-version = "1.19.5"
+version = "1.21.2"
 description = "NumPy is the fundamental package for array computing with Python."
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7,<3.11"
 
 [[package]]
 name = "openpyxl"
-version = "3.0.7"
+version = "3.0.9"
 description = "A Python library to read/write Excel 2010 xlsx/xlsm files"
 category = "main"
-optional = true
-python-versions = ">=3.6,"
+optional = false
+python-versions = ">=3.6"
 
 [package.dependencies]
 et-xmlfile = "*"
 
 [[package]]
 name = "packaging"
-version = "20.9"
+version = "21.0"
 description = "Core utilities for Python packages"
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.6"
 
 [package.dependencies]
 pyparsing = ">=2.0.2"
 
 [[package]]
 name = "pandas"
-version = "1.2.0"
+version = "1.3.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
 category = "main"
 optional = false
 python-versions = ">=3.7.1"
 
 [package.dependencies]
-numpy = ">=1.16.5"
+numpy = ">=1.17.3"
 python-dateutil = ">=2.7.3"
 pytz = ">=2017.3"
 
 [package.extras]
-test = ["pytest (>=5.0.1)", "pytest-xdist", "hypothesis (>=3.58)"]
-
-[[package]]
-name = "pandocfilters"
-version = "1.4.3"
-description = "Utilities for writing pandoc filters in python"
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"]
 
 [[package]]
 name = "parameterized"
@@ -1168,118 +619,50 @@ python-versions = "*"
 [package.extras]
 dev = ["jinja2"]
 
-[[package]]
-name = "parso"
-version = "0.8.2"
-description = "A Python Parser"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.extras]
-qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["docopt", "pytest (<6.0.0)"]
-
-[[package]]
-name = "pathspec"
-version = "0.8.1"
-description = "Utility library for gitignore style pattern matching of file paths."
-category = "main"
-optional = true
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-
-[[package]]
-name = "pexpect"
-version = "4.8.0"
-description = "Pexpect allows easy control of interactive console applications."
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-ptyprocess = ">=0.5"
-
 [[package]]
 name = "pg8000"
-version = "1.16.6"
+version = "1.21.2"
 description = "PostgreSQL interface library"
 category = "main"
-optional = true
-python-versions = ">=3.5"
+optional = false
+python-versions = ">=3.6"
 
 [package.dependencies]
-scramp = "1.2.0"
-
-[[package]]
-name = "pickleshare"
-version = "0.7.5"
-description = "Tiny 'shelve'-like database with concurrency support"
-category = "main"
-optional = false
-python-versions = "*"
+scramp = ">=1.4.1"
 
 [[package]]
 name = "pluggy"
-version = "0.13.1"
+version = "1.0.0"
 description = "plugin and hook calling mechanisms for python"
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.6"
 
 [package.dependencies]
 importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
 
 [package.extras]
 dev = ["pre-commit", "tox"]
-
-[[package]]
-name = "prometheus-client"
-version = "0.10.1"
-description = "Python client for the Prometheus monitoring system."
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-
-[package.extras]
-twisted = ["twisted"]
-
-[[package]]
-name = "prompt-toolkit"
-version = "3.0.18"
-description = "Library for building powerful interactive command lines in Python"
-category = "main"
-optional = false
-python-versions = ">=3.6.1"
-
-[package.dependencies]
-wcwidth = "*"
-
-[[package]]
-name = "ptyprocess"
-version = "0.7.0"
-description = "Run a subprocess in a pseudo terminal"
-category = "main"
-optional = false
-python-versions = "*"
+testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "py"
 version = "1.10.0"
 description = "library with cross-python path, ini-parsing, io, code, log facilities"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "pyarrow"
-version = "2.0.0"
+version = "5.0.0"
 description = "Python library for Apache Arrow"
 category = "main"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 
 [package.dependencies]
-numpy = ">=1.14"
+numpy = ">=1.16.6"
 
 [[package]]
 name = "pyasn1"
@@ -1301,7 +684,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 name = "pycparser"
 version = "2.20"
 description = "C parser in Python"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
@@ -1309,24 +692,16 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 name = "pyflakes"
 version = "2.3.1"
 description = "passive checker of Python programs"
-category = "dev"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-
-[[package]]
-name = "pygments"
-version = "2.8.1"
-description = "Pygments is a syntax highlighting package written in Python."
-category = "main"
+category = "dev"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "pymysql"
 version = "1.0.2"
 description = "Pure Python MySQL Driver"
 category = "main"
-optional = true
+optional = false
 python-versions = ">=3.6"
 
 [package.extras]
@@ -1341,45 +716,39 @@ category = "main"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 
-[[package]]
-name = "pypiwin32"
-version = "223"
-description = ""
-category = "dev"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-pywin32 = ">=223"
-
 [[package]]
 name = "pyrsistent"
-version = "0.17.3"
+version = "0.18.0"
 description = "Persistent/Functional/Immutable data structures"
 category = "main"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 
 [[package]]
 name = "pytest"
-version = "3.10.1"
+version = "6.2.5"
 description = "pytest: simple powerful testing with Python"
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.6"
 
 [package.dependencies]
-atomicwrites = ">=1.0"
-attrs = ">=17.4.0"
+atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""}
+attrs = ">=19.2.0"
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
-more-itertools = ">=4.0.0"
-pluggy = ">=0.7"
-py = ">=1.5.0"
-six = ">=1.10.0"
+importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
+iniconfig = "*"
+packaging = "*"
+pluggy = ">=0.12,<2.0"
+py = ">=1.8.2"
+toml = "*"
+
+[package.extras]
+testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
 [[package]]
 name = "python-dateutil"
-version = "2.8.1"
+version = "2.8.2"
 description = "Extensions to the standard Python datetime module"
 category = "main"
 optional = false
@@ -1390,41 +759,26 @@ six = ">=1.5"
 
 [[package]]
 name = "python-jose"
-version = "3.2.0"
+version = "3.3.0"
 description = "JOSE implementation in Python"
 category = "dev"
 optional = false
 python-versions = "*"
 
 [package.dependencies]
-cryptography = {version = "*", optional = true, markers = "extra == \"cryptography\""}
-ecdsa = "<0.15"
+cryptography = {version = ">=3.4.0", optional = true, markers = "extra == \"cryptography\""}
+ecdsa = "!=0.15"
 pyasn1 = "*"
 rsa = "*"
-six = "<2.0"
 
 [package.extras]
-cryptography = ["cryptography"]
+cryptography = ["cryptography (>=3.4.0)"]
 pycrypto = ["pycrypto (>=2.6.0,<2.7.0)", "pyasn1"]
 pycryptodome = ["pycryptodome (>=3.3.1,<4.0.0)", "pyasn1"]
 
-[[package]]
-name = "python-slugify"
-version = "4.0.1"
-description = "A Python Slugify application that handles Unicode"
-category = "main"
-optional = true
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-
-[package.dependencies]
-text-unidecode = ">=1.3"
-
-[package.extras]
-unidecode = ["Unidecode (>=1.1.1)"]
-
 [[package]]
 name = "pytz"
-version = "2021.1"
+version = "2021.3"
 description = "World timezone definitions, modern and historical"
 category = "main"
 optional = false
@@ -1432,17 +786,9 @@ python-versions = "*"
 
 [[package]]
 name = "pywin32"
-version = "300"
+version = "227"
 description = "Python for Window Extensions"
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "pywinpty"
-version = "1.0.1"
-description = "Pseudo terminal support for Windows from Python."
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
@@ -1454,24 +800,12 @@ category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 
-[[package]]
-name = "pyzmq"
-version = "22.0.3"
-description = "Python bindings for 0MQ"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-cffi = {version = "*", markers = "implementation_name == \"pypy\""}
-py = {version = "*", markers = "implementation_name == \"pypy\""}
-
 [[package]]
 name = "redshift-connector"
-version = "2.0.878"
+version = "2.0.888"
 description = "Redshift interface library"
 category = "main"
-optional = true
+optional = false
 python-versions = ">=3.5"
 
 [package.dependencies]
@@ -1479,42 +813,35 @@ beautifulsoup4 = ">=4.7.0,<5.0.0"
 boto3 = ">=1.16.8,<2.0.0"
 botocore = ">=1.19.8,<2.0.0"
 lxml = ">=4.6.2"
+packaging = "*"
 pytz = ">=2020.1,<2021.9"
-requests = ">=2.23.0,<2.25.2"
-scramp = ">=1.2.0,<1.3.0"
+requests = ">=2.23.0,<2.26.1"
+scramp = ">=1.2.0,<1.5.0"
 
 [package.extras]
 full = ["numpy", "pandas"]
 
-[[package]]
-name = "regex"
-version = "2021.4.4"
-description = "Alternative regular expression module, to replace re."
-category = "main"
-optional = true
-python-versions = "*"
-
 [[package]]
 name = "requests"
-version = "2.23.0"
+version = "2.26.0"
 description = "Python HTTP for Humans."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 
 [package.dependencies]
 certifi = ">=2017.4.17"
-chardet = ">=3.0.2,<4"
-idna = ">=2.5,<3"
-urllib3 = ">=1.21.1,<1.25.0 || >1.25.0,<1.25.1 || >1.25.1,<1.26"
+charset-normalizer = {version = ">=2.0.0,<2.1.0", markers = "python_version >= \"3\""}
+idna = {version = ">=2.5,<4", markers = "python_version >= \"3\""}
+urllib3 = ">=1.21.1,<1.27"
 
 [package.extras]
-security = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)"]
 socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
+use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
 
 [[package]]
 name = "responses"
-version = "0.13.3"
+version = "0.14.0"
 description = "A utility library for mocking out the `requests` Python library."
 category = "dev"
 optional = false
@@ -1526,18 +853,7 @@ six = "*"
 urllib3 = ">=1.25.10"
 
 [package.extras]
-tests = ["coverage (>=3.7.1,<6.0.0)", "pytest-cov", "pytest-localserver", "flake8", "pytest (>=4.6,<5.0)", "pytest (>=4.6)", "mypy"]
-
-[[package]]
-name = "rfc3986"
-version = "1.4.0"
-description = "Validating URI References per RFC 3986"
-category = "main"
-optional = true
-python-versions = "*"
-
-[package.extras]
-idna2008 = ["idna"]
+tests = ["coverage (>=3.7.1,<6.0.0)", "pytest-cov", "pytest-localserver", "flake8", "types-mock", "types-requests", "types-six", "pytest (>=4.6,<5.0)", "pytest (>=4.6)", "mypy"]
 
 [[package]]
 name = "rsa"
@@ -1550,36 +866,13 @@ python-versions = ">=3.5, <4"
 [package.dependencies]
 pyasn1 = ">=0.1.3"
 
-[[package]]
-name = "ruamel.yaml"
-version = "0.17.4"
-description = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order"
-category = "main"
-optional = true
-python-versions = ">=3"
-
-[package.dependencies]
-"ruamel.yaml.clib" = {version = ">=0.1.2", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.10\""}
-
-[package.extras]
-docs = ["ryd"]
-jinja2 = ["ruamel.yaml.jinja2 (>=0.2)"]
-
-[[package]]
-name = "ruamel.yaml.clib"
-version = "0.2.2"
-description = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml"
-category = "main"
-optional = true
-python-versions = "*"
-
 [[package]]
 name = "s3transfer"
-version = "0.4.2"
+version = "0.5.0"
 description = "An Amazon S3 Transfer Manager"
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">= 3.6"
 
 [package.dependencies]
 botocore = ">=1.12.36,<2.0a.0"
@@ -1587,52 +880,20 @@ botocore = ">=1.12.36,<2.0a.0"
 [package.extras]
 crt = ["botocore[crt] (>=1.20.29,<2.0a.0)"]
 
-[[package]]
-name = "scipy"
-version = "1.6.3"
-description = "SciPy: Scientific Library for Python"
-category = "main"
-optional = true
-python-versions = ">=3.7,<3.10"
-
-[package.dependencies]
-numpy = ">=1.16.5,<1.23.0"
-
 [[package]]
 name = "scramp"
-version = "1.2.0"
+version = "1.4.1"
 description = "An implementation of the SCRAM protocol."
 category = "main"
-optional = true
-python-versions = ">=3.5"
-
-[[package]]
-name = "send2trash"
-version = "1.5.0"
-description = "Send file to trash natively under Mac OS X, Windows and Linux."
-category = "main"
 optional = false
-python-versions = "*"
-
-[[package]]
-name = "simpleeval"
-version = "0.9.10"
-description = "A simple, safe single expression evaluator library."
-category = "main"
-optional = true
-python-versions = "*"
+python-versions = ">=3.6"
 
-[[package]]
-name = "simplejson"
-version = "3.17.2"
-description = "Simple, fast, extensible JSON encoder/decoder for Python"
-category = "main"
-optional = true
-python-versions = ">=2.5, !=3.0.*, !=3.1.*, !=3.2.*"
+[package.dependencies]
+asn1crypto = ">=1.4.0"
 
 [[package]]
 name = "six"
-version = "1.15.0"
+version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
 category = "main"
 optional = false
@@ -1643,147 +904,43 @@ name = "soupsieve"
 version = "2.2.1"
 description = "A modern CSS selector implementation for Beautiful Soup."
 category = "main"
-optional = true
+optional = false
 python-versions = ">=3.6"
 
 [[package]]
-name = "stringcase"
-version = "1.2.0"
-description = "String case converter."
-category = "main"
-optional = true
-python-versions = "*"
-
-[[package]]
-name = "tabulate"
-version = "0.8.9"
-description = "Pretty-print tabular data"
-category = "main"
-optional = true
-python-versions = "*"
-
-[package.extras]
-widechars = ["wcwidth"]
-
-[[package]]
-name = "termcolor"
-version = "1.1.0"
-description = "ANSII Color formatting for output in terminal."
-category = "main"
-optional = true
-python-versions = "*"
-
-[[package]]
-name = "terminado"
-version = "0.9.4"
-description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
-category = "main"
+name = "sshpubkeys"
+version = "3.3.1"
+description = "SSH public key parser"
+category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3"
 
 [package.dependencies]
-ptyprocess = {version = "*", markers = "os_name != \"nt\""}
-pywinpty = {version = ">=0.5", markers = "os_name == \"nt\""}
-tornado = ">=4"
-
-[package.extras]
-test = ["pytest"]
-
-[[package]]
-name = "testpath"
-version = "0.4.4"
-description = "Test utilities for code working with files and commands"
-category = "main"
-optional = false
-python-versions = "*"
+cryptography = ">=2.1.4"
+ecdsa = ">=0.13"
 
 [package.extras]
-test = ["pathlib2"]
-
-[[package]]
-name = "text-unidecode"
-version = "1.3"
-description = "The most basic Text::Unidecode port"
-category = "main"
-optional = true
-python-versions = "*"
+dev = ["twine", "wheel", "yapf"]
 
 [[package]]
 name = "toml"
 version = "0.10.2"
 description = "Python Library for Tom's Obvious, Minimal Language"
-category = "main"
-optional = true
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
-
-[[package]]
-name = "toolz"
-version = "0.11.1"
-description = "List processing tools and functional utilities"
-category = "main"
-optional = true
-python-versions = ">=3.5"
-
-[[package]]
-name = "tornado"
-version = "6.1"
-description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
-category = "main"
-optional = false
-python-versions = ">= 3.5"
-
-[[package]]
-name = "traitlets"
-version = "5.0.5"
-description = "Traitlets Python configuration system"
-category = "main"
+category = "dev"
 optional = false
-python-versions = ">=3.7"
-
-[package.dependencies]
-ipython-genutils = "*"
-
-[package.extras]
-test = ["pytest"]
-
-[[package]]
-name = "typed-ast"
-version = "1.4.3"
-description = "a fork of Python 2 and 3 ast modules with type comment support"
-category = "main"
-optional = true
-python-versions = "*"
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 
 [[package]]
 name = "typing-extensions"
-version = "3.7.4.3"
+version = "3.10.0.2"
 description = "Backported and Experimental Type Hints for Python 3.5+"
 category = "main"
 optional = false
 python-versions = "*"
 
-[[package]]
-name = "tzlocal"
-version = "2.1"
-description = "tzinfo object for the local timezone"
-category = "main"
-optional = true
-python-versions = "*"
-
-[package.dependencies]
-pytz = "*"
-
-[[package]]
-name = "unicodecsv"
-version = "0.14.1"
-description = "Python2's stdlib csv module is nice, but it doesn't support unicode. This module is a drop-in replacement which *does*."
-category = "main"
-optional = true
-python-versions = "*"
-
 [[package]]
 name = "urllib3"
-version = "1.25.11"
+version = "1.26.7"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = false
@@ -1794,56 +951,29 @@ brotli = ["brotlipy (>=0.6.0)"]
 secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
-[[package]]
-name = "wcwidth"
-version = "0.2.5"
-description = "Measures the displayed width of unicode strings in a terminal"
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "webencodings"
-version = "0.5.1"
-description = "Character encoding aliases for legacy web content"
-category = "main"
-optional = false
-python-versions = "*"
-
 [[package]]
 name = "websocket-client"
-version = "0.58.0"
+version = "1.2.1"
 description = "WebSocket client for Python with low level API options"
 category = "dev"
 optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.6"
 
-[package.dependencies]
-six = "*"
+[package.extras]
+optional = ["python-socks", "wsaccel"]
+test = ["websockets"]
 
 [[package]]
 name = "werkzeug"
-version = "1.0.1"
+version = "2.0.1"
 description = "The comprehensive WSGI web application library."
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.6"
 
 [package.extras]
-dev = ["pytest", "pytest-timeout", "coverage", "tox", "sphinx", "pallets-sphinx-themes", "sphinx-issues"]
 watchdog = ["watchdog"]
 
-[[package]]
-name = "widgetsnbextension"
-version = "3.5.1"
-description = "IPython HTML widgets for Jupyter"
-category = "main"
-optional = true
-python-versions = "*"
-
-[package.dependencies]
-notebook = ">=4.4.1"
-
 [[package]]
 name = "wrapt"
 version = "1.12.1"
@@ -1852,27 +982,6 @@ category = "main"
 optional = false
 python-versions = "*"
 
-[[package]]
-name = "xlrd"
-version = "2.0.1"
-description = "Library for developers to extract data from Microsoft Excel (tm) .xls spreadsheet files"
-category = "main"
-optional = true
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
-
-[package.extras]
-build = ["wheel", "twine"]
-docs = ["sphinx"]
-test = ["pytest", "pytest-cov"]
-
-[[package]]
-name = "xlwt"
-version = "1.3.0"
-description = "Library to create spreadsheet files compatible with MS Excel 97/2000/XP/2003 XLS files, on any platform, with Python 2.6, 2.7, 3.3+"
-category = "main"
-optional = true
-python-versions = "*"
-
 [[package]]
 name = "xmltodict"
 version = "0.12.0"
@@ -1883,7 +992,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "zipp"
-version = "3.4.1"
+version = "3.6.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "main"
 optional = false
@@ -1891,229 +1000,175 @@ python-versions = ">=3.6"
 
 [package.extras]
 docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
-testing = ["pytest (>=4.6)", "pytest-checkdocs (>=1.2.3)", "pytest-flake8", "pytest-cov", "pytest-enabler", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy"]
+testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy"]
 
 [extras]
-frictionless = ["frictionless"]
-ge = ["great-expectations", "awswrangler"]
+frictionless = []
+ge = []
 
 [metadata]
 lock-version = "1.1"
-python-versions = ">=3.7.1,<3.9"
-content-hash = "45d72beb537789e93335c71edb5b3406475efe6d869863eac7daebbe85950d90"
+python-versions = ">=3.7.1,<3.10"
+content-hash = "401ee71a70371fd18175343c57a23e45ae42ee969ea735cb9aae0b054a1146fa"
 
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-    {file = "typed_ast-1.4.3-cp39-cp39-win32.whl", hash = "sha256:209596a4ec71d990d71d5e0d312ac935d86930e6eecff6ccc7007fe54d703808"},
-    {file = "typed_ast-1.4.3-cp39-cp39-win_amd64.whl", hash = "sha256:9c6d1a54552b5330bc657b7ef0eae25d00ba7ffe85d9ea8ae6540d2197a3788c"},
-    {file = "typed_ast-1.4.3.tar.gz", hash = "sha256:fb1bbeac803adea29cedd70781399c99138358c26d05fcbd23c13016b7f5ec65"},
-]
 typing-extensions = [
-    {file = "typing_extensions-3.7.4.3-py2-none-any.whl", hash = "sha256:dafc7639cde7f1b6e1acc0f457842a83e722ccca8eef5270af2d74792619a89f"},
-    {file = "typing_extensions-3.7.4.3-py3-none-any.whl", hash = "sha256:7cb407020f00f7bfc3cb3e7881628838e69d8f3fcab2f64742a5e76b2f841918"},
-    {file = "typing_extensions-3.7.4.3.tar.gz", hash = "sha256:99d4073b617d30288f569d3f13d2bd7548c3a7e4c8de87db09a9d29bb3a4a60c"},
-]
-tzlocal = [
-    {file = "tzlocal-2.1-py2.py3-none-any.whl", hash = "sha256:e2cb6c6b5b604af38597403e9852872d7f534962ae2954c7f35efcb1ccacf4a4"},
-    {file = "tzlocal-2.1.tar.gz", hash = "sha256:643c97c5294aedc737780a49d9df30889321cbe1204eac2c2ec6134035a92e44"},
-]
-unicodecsv = [
-    {file = "unicodecsv-0.14.1.tar.gz", hash = "sha256:018c08037d48649a0412063ff4eda26eaa81eff1546dbffa51fa5293276ff7fc"},
+    {file = "typing_extensions-3.10.0.2-py2-none-any.whl", hash = "sha256:d8226d10bc02a29bcc81df19a26e56a9647f8b0a6d4a83924139f4a8b01f17b7"},
+    {file = "typing_extensions-3.10.0.2-py3-none-any.whl", hash = "sha256:f1d25edafde516b146ecd0613dabcc61409817af4766fbbcfb8d1ad4ec441a34"},
+    {file = "typing_extensions-3.10.0.2.tar.gz", hash = "sha256:49f75d16ff11f1cd258e1b988ccff82a3ca5570217d7ad8c5f48205dd99a677e"},
 ]
 urllib3 = [
-    {file = "urllib3-1.25.11-py2.py3-none-any.whl", hash = "sha256:f5321fbe4bf3fefa0efd0bfe7fb14e90909eb62a48ccda331726b4319897dd5e"},
-    {file = "urllib3-1.25.11.tar.gz", hash = "sha256:8d7eaa5a82a1cac232164990f04874c594c9453ec55eef02eab885aa02fc17a2"},
-]
-wcwidth = [
-    {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
-    {file = "wcwidth-0.2.5.tar.gz", hash = "sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83"},
-]
-webencodings = [
-    {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
-    {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
+    {file = "urllib3-1.26.7-py2.py3-none-any.whl", hash = "sha256:c4fdf4019605b6e5423637e01bc9fe4daef873709a7973e195ceba0a62bbc844"},
+    {file = "urllib3-1.26.7.tar.gz", hash = "sha256:4987c65554f7a2dbf30c18fd48778ef124af6fab771a377103da0585e2336ece"},
 ]
 websocket-client = [
-    {file = "websocket_client-0.58.0-py2.py3-none-any.whl", hash = "sha256:44b5df8f08c74c3d82d28100fdc81f4536809ce98a17f0757557813275fbb663"},
-    {file = "websocket_client-0.58.0.tar.gz", hash = "sha256:63509b41d158ae5b7f67eb4ad20fecbb4eee99434e73e140354dc3ff8e09716f"},
+    {file = "websocket-client-1.2.1.tar.gz", hash = "sha256:8dfb715d8a992f5712fff8c843adae94e22b22a99b2c5e6b0ec4a1a981cc4e0d"},
+    {file = "websocket_client-1.2.1-py2.py3-none-any.whl", hash = "sha256:0133d2f784858e59959ce82ddac316634229da55b498aac311f1620567a710ec"},
 ]
 werkzeug = [
-    {file = "Werkzeug-1.0.1-py2.py3-none-any.whl", hash = "sha256:2de2a5db0baeae7b2d2664949077c2ac63fbd16d98da0ff71837f7d1dea3fd43"},
-    {file = "Werkzeug-1.0.1.tar.gz", hash = "sha256:6c80b1e5ad3665290ea39320b91e1be1e0d5f60652b964a3070216de83d2e47c"},
-]
-widgetsnbextension = [
-    {file = "widgetsnbextension-3.5.1-py2.py3-none-any.whl", hash = "sha256:bd314f8ceb488571a5ffea6cc5b9fc6cba0adaf88a9d2386b93a489751938bcd"},
-    {file = "widgetsnbextension-3.5.1.tar.gz", hash = "sha256:079f87d87270bce047512400efd70238820751a11d2d8cb137a5a5bdbaf255c7"},
+    {file = "Werkzeug-2.0.1-py3-none-any.whl", hash = "sha256:6c1ec500dcdba0baa27600f6a22f6333d8b662d22027ff9f6202e3367413caa8"},
+    {file = "Werkzeug-2.0.1.tar.gz", hash = "sha256:1de1db30d010ff1af14a009224ec49ab2329ad2cde454c8a708130642d579c42"},
 ]
 wrapt = [
     {file = "wrapt-1.12.1.tar.gz", hash = "sha256:b62ffa81fb85f4332a4f609cab4ac40709470da05643a082ec1eb88e6d9b97d7"},
 ]
-xlrd = [
-    {file = "xlrd-2.0.1-py2.py3-none-any.whl", hash = "sha256:6a33ee89877bd9abc1158129f6e94be74e2679636b8a205b43b85206c3f0bbdd"},
-    {file = "xlrd-2.0.1.tar.gz", hash = "sha256:f72f148f54442c6b056bf931dbc34f986fd0c3b0b6b5a58d013c9aef274d0c88"},
-]
-xlwt = [
-    {file = "xlwt-1.3.0-py2.py3-none-any.whl", hash = "sha256:a082260524678ba48a297d922cc385f58278b8aa68741596a87de01a9c628b2e"},
-    {file = "xlwt-1.3.0.tar.gz", hash = "sha256:c59912717a9b28f1a3c2a98fd60741014b06b043936dcecbc113eaaada156c88"},
-]
 xmltodict = [
     {file = "xmltodict-0.12.0-py2.py3-none-any.whl", hash = "sha256:8bbcb45cc982f48b2ca8fe7e7827c5d792f217ecf1792626f808bf41c3b86051"},
     {file = "xmltodict-0.12.0.tar.gz", hash = "sha256:50d8c638ed7ecb88d90561beedbf720c9b4e851a9fa6c47ebd64e99d166d8a21"},
 ]
 zipp = [
-    {file = "zipp-3.4.1-py3-none-any.whl", hash = "sha256:51cb66cc54621609dd593d1787f286ee42a5c0adbb4b29abea5a63edc3e03098"},
-    {file = "zipp-3.4.1.tar.gz", hash = "sha256:3607921face881ba3e026887d8150cca609d517579abe052ac81fc5aeffdbd76"},
+    {file = "zipp-3.6.0-py3-none-any.whl", hash = "sha256:9fe5ea21568a0a70e50f273397638d39b03353731e6cbbb3fd8502a33fec40bc"},
+    {file = "zipp-3.6.0.tar.gz", hash = "sha256:71c644c5369f4a6e07636f0aa966270449561fcea2e3d6747b8d23efaa9d7832"},
 ]
diff --git a/pyproject.toml b/pyproject.toml
index 5645f5c..c7cc338 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "data_linter"
-version = "5.1.0"
+version = "6.0.0"
 description = "data linter"
 authors = ["Thomas Hirsch <thomas.hirsch@digital.justice.gov.uk>",
            "George Kelly <george.kelly@digital.justice.gov.uk>",
@@ -13,27 +13,24 @@ repository = "https://github.com/moj-analytical-services/data_linter"
 homepage = "https://github.com/moj-analytical-services/data_linter"
 
 [tool.poetry.dependencies]
-python = ">=3.7.1,<3.9"
+python = ">=3.7.1,<3.10"
 dataengineeringutils3 = "^1.0.1"
 boto3 = "^1.14.7"
 jsonschema = "^3.2.0"
-pyyaml = "^5.3.1"
+PyYAML = ">= 5.4.1"
 iam_builder = "^3.7.0"
 pandas = "^1.2"
-mojap-metadata = {version = "^1.1.1", extras = ["arrow"]}
-arrow-pd-parser = "^0.4.1"
-great-expectations = { version = "0.12.9", optional = true }
-awswrangler = {version = "2.3.0", optional = true}
-frictionless = {version = "3.24.0", optional = true}
+mojap-metadata = {version = "^1.2.2", extras = ["arrow"]}
+arrow-pd-parser = ">=1.0.2,<2"
+awswrangler = "^2.3.0"
 
 [tool.poetry.dev-dependencies]
-pytest = "^3.4"
+pytest = ">=6.1"
 moto = "^1.3"
 flake8 = "^3.8.4"
-jupyterlab = "^2.2.8"
 
 [tool.poetry.extras]
-ge = ["great-expectations", "awswrangler"]
+ge = ["great-expectations"]
 frictionless = ["frictionless"]
 
 [build-system]


Test patch:
diff --git a/.github/workflows/run-tests.yml b/.github/workflows/run-tests.yml
index 260c4f2..4a76be4 100644
--- a/.github/workflows/run-tests.yml
+++ b/.github/workflows/run-tests.yml
@@ -1,4 +1,4 @@
-name: Build and run tests in container
+name: Run tests with package dependencies
 
 on: pull_request
 
@@ -8,29 +8,26 @@ jobs:
     strategy:
       max-parallel: 4
       matrix:
-        python-version: [3.7, 3.8]
+        python-version: [3.7, 3.8, 3.9]
+        poetry-install: [from-lock-file, fresh-install]
     steps:
-    - uses: actions/checkout@v1
+    - uses: actions/checkout@v2
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v1
+      uses: actions/setup-python@v2
       with:
         python-version: ${{ matrix.python-version }}
-    - name: Install dependencies
+    - name: Install dependencies ${{ matrix.poetry-install }}
       run: |
-        python -m pip install --upgrade pip==20.3.3
+        if [ "${{ matrix.poetry-install }}" == "from-lock-file" ]; then
+          echo "Installing dependencies from lock file"
+        else
+          echo "Removing lock file and installing latest possible dependencies"
+          rm poetry.lock
+        fi
+        python -m pip install --upgrade pip
         pip install poetry
         poetry config virtualenvs.create false \
           && poetry install --extras "ge frictionless" --no-interaction --no-ansi
+    - name: Run Tests
+      run: |
         pytest tests/ -vv
-
-  docker-run-tests:
-    runs-on: ubuntu-latest
-
-    steps:
-    - uses: actions/checkout@v2
-    
-    - name: Build image
-      run: docker build . --file tests/Dockerfile --tag validator-tests
-
-    - name: Run tests
-      run: docker run -t validator-tests
diff --git a/tests/Dockerfile_no_lock b/tests/Dockerfile_no_lock
deleted file mode 100644
index 045897c..0000000
--- a/tests/Dockerfile_no_lock
+++ /dev/null
@@ -1,14 +0,0 @@
-FROM python:3.7-slim-buster
-
-WORKDIR /validator
-
-RUN python -m pip install --upgrade pip==20.3.3
-RUN pip install poetry
-
-COPY . /validator
-RUN rm /validator/poetry.lock
-
-RUN poetry config virtualenvs.create false \
-  && poetry install --extras "ge frictionless" --no-interaction --no-ansi
-
-ENTRYPOINT pytest tests/ -vv
diff --git a/tests/data/headers/meta_data/table2.json b/tests/data/headers/meta_data/table2.json
index ab4e038..fc1334a 100644
--- a/tests/data/headers/meta_data/table2.json
+++ b/tests/data/headers/meta_data/table2.json
@@ -24,7 +24,8 @@
             "name": "employee_dob",
             "type": "date64",
             "type_category": "timestamp",
-            "description": "date of birth for the employee"
+            "description": "date of birth for the employee",
+            "nullable": false
         },
         {
             "name": "employee_email",
@@ -41,4 +42,4 @@
             "maximum": 1
         }
     ]
-}
\ No newline at end of file
+}
diff --git a/tests/data/mitigations/data/all_types_sc1.csv b/tests/data/mitigations/data/all_types_sc1.csv
new file mode 100644
index 0000000..f45522b
--- /dev/null
+++ b/tests/data/mitigations/data/all_types_sc1.csv
@@ -0,0 +1,11 @@
+i,my_float,my_bool,my_nullable_bool,my_date,my_datetime,my_int,my_string
+0,124.1252513,True,True,2013-06-13,2013-06-13 05:11:07,,bhaskjfhsaf
+1,124.1252513,True,True,1995-04-30,1995-04-30 10:23:29,16,💩
+2,0.1252513,False,False,2017-10-15,2017-10-15 20:25:05,16,"dsfasd,dsffadsf"
+3,0.1252513,True,True,1991-12-27,1991-12-27 06:57:23,17,csjasof fweh lkia hfeaofh
+4,0.1252513,True,,1980-03-28,1980-03-28 07:31:18,18,aflhnas flk; h
+5,125195315,True,True,1984-04-21,1984-04-21 18:36:57,,NULL
+6,125195315.0,True,True,,1992-11-08 17:18:12,13,hjsaldfh
+7,1.000001,False,False,1972-10-21,,11,None
+8,,True,True,1973-05-18,1973-05-18 07:35:46,10,null
+9,1.000,True,True,1991-03-13,1991-03-13 15:48:11,11,
diff --git a/tests/data/mitigations/data/all_types_sc2.csv b/tests/data/mitigations/data/all_types_sc2.csv
new file mode 100644
index 0000000..8033294
--- /dev/null
+++ b/tests/data/mitigations/data/all_types_sc2.csv
@@ -0,0 +1,11 @@
+i,my_float,my_bool,my_nullable_bool,my_date,my_datetime,my_int
+0,124.1252513,True,True,2013-06-13,2013-06-13 05:11:07,
+1,124.1252513,True,True,1995-04-30,1995-04-30 10:23:29,16
+2,0.1252513,False,False,2017-10-15,2017-10-15 20:25:05,16
+3,0.1252513,True,True,1991-12-27,1991-12-27 06:57:23,17
+4,0.1252513,True,,1980-03-28,1980-03-28 07:31:18,18
+5,125195315,True,True,1984-04-21,1984-04-21 18:36:57,
+6,125195315.0,True,True,,1992-11-08 17:18:12,13
+7,1.000001,False,False,1972-10-21,,11
+8,,True,True,1973-05-18,1973-05-18 07:35:46,10
+9,1.000,True,True,1991-03-13,1991-03-13 15:48:11,11
diff --git a/tests/data/mitigations/data/all_types_sc3.csv b/tests/data/mitigations/data/all_types_sc3.csv
new file mode 100644
index 0000000..f45522b
--- /dev/null
+++ b/tests/data/mitigations/data/all_types_sc3.csv
@@ -0,0 +1,11 @@
+i,my_float,my_bool,my_nullable_bool,my_date,my_datetime,my_int,my_string
+0,124.1252513,True,True,2013-06-13,2013-06-13 05:11:07,,bhaskjfhsaf
+1,124.1252513,True,True,1995-04-30,1995-04-30 10:23:29,16,💩
+2,0.1252513,False,False,2017-10-15,2017-10-15 20:25:05,16,"dsfasd,dsffadsf"
+3,0.1252513,True,True,1991-12-27,1991-12-27 06:57:23,17,csjasof fweh lkia hfeaofh
+4,0.1252513,True,,1980-03-28,1980-03-28 07:31:18,18,aflhnas flk; h
+5,125195315,True,True,1984-04-21,1984-04-21 18:36:57,,NULL
+6,125195315.0,True,True,,1992-11-08 17:18:12,13,hjsaldfh
+7,1.000001,False,False,1972-10-21,,11,None
+8,,True,True,1973-05-18,1973-05-18 07:35:46,10,null
+9,1.000,True,True,1991-03-13,1991-03-13 15:48:11,11,
diff --git a/tests/data/mitigations/data/all_types_sc4.csv b/tests/data/mitigations/data/all_types_sc4.csv
new file mode 100644
index 0000000..f45522b
--- /dev/null
+++ b/tests/data/mitigations/data/all_types_sc4.csv
@@ -0,0 +1,11 @@
+i,my_float,my_bool,my_nullable_bool,my_date,my_datetime,my_int,my_string
+0,124.1252513,True,True,2013-06-13,2013-06-13 05:11:07,,bhaskjfhsaf
+1,124.1252513,True,True,1995-04-30,1995-04-30 10:23:29,16,💩
+2,0.1252513,False,False,2017-10-15,2017-10-15 20:25:05,16,"dsfasd,dsffadsf"
+3,0.1252513,True,True,1991-12-27,1991-12-27 06:57:23,17,csjasof fweh lkia hfeaofh
+4,0.1252513,True,,1980-03-28,1980-03-28 07:31:18,18,aflhnas flk; h
+5,125195315,True,True,1984-04-21,1984-04-21 18:36:57,,NULL
+6,125195315.0,True,True,,1992-11-08 17:18:12,13,hjsaldfh
+7,1.000001,False,False,1972-10-21,,11,None
+8,,True,True,1973-05-18,1973-05-18 07:35:46,10,null
+9,1.000,True,True,1991-03-13,1991-03-13 15:48:11,11,
diff --git a/tests/data/mitigations/data/all_types_sc5.csv b/tests/data/mitigations/data/all_types_sc5.csv
new file mode 100644
index 0000000..a7dfa14
--- /dev/null
+++ b/tests/data/mitigations/data/all_types_sc5.csv
@@ -0,0 +1,11 @@
+iw,my_floatw,my_boolw,my_nullable_boolw,my_datew,my_datetimew,my_intw,my_stringw
+0,124.1252513,True,True,2013-06-13,2013-06-13 05:11:07,,bhaskjfhsaf
+1,124.1252513,True,True,1995-04-30,1995-04-30 10:23:29,16,💩
+2,0.1252513,False,False,2017-10-15,2017-10-15 20:25:05,16,"dsfasd,dsffadsf"
+3,0.1252513,True,True,1991-12-27,1991-12-27 06:57:23,17,csjasof fweh lkia hfeaofh
+4,0.1252513,True,,1980-03-28,1980-03-28 07:31:18,18,aflhnas flk; h
+5,125195315,True,True,1984-04-21,1984-04-21 18:36:57,,NULL
+6,125195315.0,True,True,,1992-11-08 17:18:12,13,hjsaldfh
+7,1.000001,False,False,1972-10-21,,11,None
+8,,True,True,1973-05-18,1973-05-18 07:35:46,10,null
+9,1.000,True,True,1991-03-13,1991-03-13 15:48:11,11,
diff --git a/tests/data/mitigations/meta/all_types_sc1.json b/tests/data/mitigations/meta/all_types_sc1.json
new file mode 100644
index 0000000..faca2d3
--- /dev/null
+++ b/tests/data/mitigations/meta/all_types_sc1.json
@@ -0,0 +1,52 @@
+{
+    "$schema" : "https://moj-analytical-services.github.io/metadata_schema/mojap_metadata/v1.1.0.json",
+    "name": "all_types",
+    "description": "test meta for all_types",
+    "file_format": "csv",
+    "columns": [
+        {
+            "name": "i",
+            "type": "int64",
+            "type_category": "integer",
+            "nullable": false
+        },
+        {
+            "name": "my_float",
+            "type": "float64",
+            "type_category": "float"
+        },
+        {
+            "name": "my_bool",
+            "type": "bool_",
+            "type_category": "boolean",
+            "nullable": false
+        },
+        {
+            "name": "my_nullable_bool",
+            "type": "bool_",
+            "type_category": "boolean"
+        },
+        {
+            "name": "my_date",
+            "type": "date64",
+            "type_category": "timestamp"
+        },
+        {
+            "name": "my_datetime",
+            "type": "timestamp(s)",
+            "type_category": "timestamp"
+        },
+        {
+            "name": "my_int",
+            "type": "int64",
+            "type_category": "integer",
+            "minimum": 10,
+            "maximum": 20
+        },
+        {
+            "name": "my_string",
+            "type": "string",
+            "type_category": "string"
+        }
+    ]
+}
diff --git a/tests/data/mitigations/meta/all_types_sc2.json b/tests/data/mitigations/meta/all_types_sc2.json
new file mode 100644
index 0000000..faca2d3
--- /dev/null
+++ b/tests/data/mitigations/meta/all_types_sc2.json
@@ -0,0 +1,52 @@
+{
+    "$schema" : "https://moj-analytical-services.github.io/metadata_schema/mojap_metadata/v1.1.0.json",
+    "name": "all_types",
+    "description": "test meta for all_types",
+    "file_format": "csv",
+    "columns": [
+        {
+            "name": "i",
+            "type": "int64",
+            "type_category": "integer",
+            "nullable": false
+        },
+        {
+            "name": "my_float",
+            "type": "float64",
+            "type_category": "float"
+        },
+        {
+            "name": "my_bool",
+            "type": "bool_",
+            "type_category": "boolean",
+            "nullable": false
+        },
+        {
+            "name": "my_nullable_bool",
+            "type": "bool_",
+            "type_category": "boolean"
+        },
+        {
+            "name": "my_date",
+            "type": "date64",
+            "type_category": "timestamp"
+        },
+        {
+            "name": "my_datetime",
+            "type": "timestamp(s)",
+            "type_category": "timestamp"
+        },
+        {
+            "name": "my_int",
+            "type": "int64",
+            "type_category": "integer",
+            "minimum": 10,
+            "maximum": 20
+        },
+        {
+            "name": "my_string",
+            "type": "string",
+            "type_category": "string"
+        }
+    ]
+}
diff --git a/tests/data/mitigations/meta/all_types_sc3.json b/tests/data/mitigations/meta/all_types_sc3.json
new file mode 100644
index 0000000..a7079fe
--- /dev/null
+++ b/tests/data/mitigations/meta/all_types_sc3.json
@@ -0,0 +1,47 @@
+{
+    "$schema" : "https://moj-analytical-services.github.io/metadata_schema/mojap_metadata/v1.1.0.json",
+    "name": "all_types",
+    "description": "test meta for all_types",
+    "file_format": "csv",
+    "columns": [
+        {
+            "name": "i",
+            "type": "int64",
+            "type_category": "integer",
+            "nullable": false
+        },
+        {
+            "name": "my_float",
+            "type": "float64",
+            "type_category": "float"
+        },
+        {
+            "name": "my_bool",
+            "type": "bool_",
+            "type_category": "boolean",
+            "nullable": false
+        },
+        {
+            "name": "my_nullable_bool",
+            "type": "bool_",
+            "type_category": "boolean"
+        },
+        {
+            "name": "my_date",
+            "type": "date64",
+            "type_category": "timestamp"
+        },
+        {
+            "name": "my_datetime",
+            "type": "timestamp(s)",
+            "type_category": "timestamp"
+        },
+        {
+            "name": "my_int",
+            "type": "int64",
+            "type_category": "integer",
+            "minimum": 10,
+            "maximum": 20
+        }
+    ]
+}
diff --git a/tests/data/mitigations/meta/all_types_sc4.json b/tests/data/mitigations/meta/all_types_sc4.json
new file mode 100644
index 0000000..2615777
--- /dev/null
+++ b/tests/data/mitigations/meta/all_types_sc4.json
@@ -0,0 +1,52 @@
+{
+    "$schema" : "https://moj-analytical-services.github.io/metadata_schema/mojap_metadata/v1.1.0.json",
+    "name": "all_types",
+    "description": "test meta for all_types",
+    "file_format": "csv",
+    "columns": [
+        {
+            "name": "i",
+            "type": "int64",
+            "type_category": "integer",
+            "nullable": false
+        },
+        {
+            "name": "my_float",
+            "type": "float64",
+            "type_category": "float"
+        },
+        {
+            "name": "my_bool",
+            "type": "bool_",
+            "type_category": "boolean",
+            "nullable": false
+        },
+        {
+            "name": "my_nullable_bool",
+            "type": "bool_",
+            "type_category": "boolean"
+        },
+        {
+            "name": "my_date",
+            "type": "date64",
+            "type_category": "timestamp"
+        },
+        {
+            "name": "my_datetime",
+            "type": "timestamp(s)",
+            "type_category": "timestamp"
+        },
+        {
+            "name": "my_int",
+            "type": "int64",
+            "type_category": "integer",
+            "minimum": 10,
+            "maximum": 20
+        },
+        {
+            "name": "my_string_new",
+            "type": "string",
+            "type_category": "string"
+        }
+    ]
+}
diff --git a/tests/data/mitigations/meta/all_types_sc5.json b/tests/data/mitigations/meta/all_types_sc5.json
new file mode 100644
index 0000000..faca2d3
--- /dev/null
+++ b/tests/data/mitigations/meta/all_types_sc5.json
@@ -0,0 +1,52 @@
+{
+    "$schema" : "https://moj-analytical-services.github.io/metadata_schema/mojap_metadata/v1.1.0.json",
+    "name": "all_types",
+    "description": "test meta for all_types",
+    "file_format": "csv",
+    "columns": [
+        {
+            "name": "i",
+            "type": "int64",
+            "type_category": "integer",
+            "nullable": false
+        },
+        {
+            "name": "my_float",
+            "type": "float64",
+            "type_category": "float"
+        },
+        {
+            "name": "my_bool",
+            "type": "bool_",
+            "type_category": "boolean",
+            "nullable": false
+        },
+        {
+            "name": "my_nullable_bool",
+            "type": "bool_",
+            "type_category": "boolean"
+        },
+        {
+            "name": "my_date",
+            "type": "date64",
+            "type_category": "timestamp"
+        },
+        {
+            "name": "my_datetime",
+            "type": "timestamp(s)",
+            "type_category": "timestamp"
+        },
+        {
+            "name": "my_int",
+            "type": "int64",
+            "type_category": "integer",
+            "minimum": 10,
+            "maximum": 20
+        },
+        {
+            "name": "my_string",
+            "type": "string",
+            "type_category": "string"
+        }
+    ]
+}
diff --git a/tests/test_configs.py b/tests/test_configs.py
index 2c4bc92..7b945ac 100644
--- a/tests/test_configs.py
+++ b/tests/test_configs.py
@@ -25,10 +25,7 @@ def test_load_and_validate_config_fail(test_input, expected):
 
 
 @pytest.mark.parametrize(
-    "test_input", [
-        "example_config_pass.yaml",
-        "example_config_pass_underscores.yaml"
-    ]
+    "test_input", ["example_config_pass.yaml", "example_config_pass_underscores.yaml"]
 )
 def test_load_and_validate_config_pass(test_input):
     with open("tests/data/expected/expected_pass.json", "r") as f:
diff --git a/tests/test_end_to_end_run.py b/tests/test_end_to_end_run.py
index 1b5e390..ad7cd43 100644
--- a/tests/test_end_to_end_run.py
+++ b/tests/test_end_to_end_run.py
@@ -34,32 +34,14 @@ def test_end_to_end(s3, monkeypatch):
     os.system(f"python data_linter/command_line.py --config-path {config_path}")
 
 
-@pytest.mark.parametrize("validator", ["pandas", "frictionless", "great-expectations"])
-def test_end_to_end_all_validators(s3, monkeypatch, validator):
-
-    monkeypatch.setattr(fs, "S3FileSystem", mock_get_file)
-
-    from data_linter.validation import run_validation
-
-    test_folder = "tests/data/end_to_end1/"
-    land_folder = "tests/data/end_to_end1/land/"
-    config_path = os.path.join(test_folder, "config.yaml")
-    with open(config_path) as f:
-        config = yaml.safe_load(f)
-    config["validator-engine"] = validator
-    set_up_s3(s3, land_folder, config)
-    run_validation(config)
-
-
 def test_end_to_end_no_creds_error():
 
     from data_linter.validation import run_validation
-    from botocore.exceptions import NoCredentialsError
 
     test_folder = "tests/data/end_to_end1/"
     config_path = os.path.join(test_folder, "config.yaml")
 
-    with pytest.raises(NoCredentialsError):
+    with pytest.raises(Exception):
         run_validation(config_path)
 
 
@@ -336,3 +318,156 @@ def test_parquet_linting(s3):
     config["land-base-path"] = land_folder
 
     run_validation(config)
+
+
+@pytest.mark.parametrize(
+    "config,expected_pass",
+    [
+        # passes
+        (
+            {
+                "land-base-path": "s3://land/",
+                "fail-base-path": "s3://fail/",
+                "pass-base-path": "s3://pass/",
+                "log-base-path": "s3://log/",
+                "compress-data": True,
+                "remove-tables-on-pass": False,
+                "all-must-pass": True,
+                "tables": {
+                    "all_types_sc1": {
+                        "required": True,
+                        "metadata": "tests/data/mitigations/meta/all_types_sc1.json",
+                        "expect-header": True,
+                        "allow-unexpected-data": False,
+                        "allow-missing-cols": False,
+                        "matched_files": ["s3://land/all_types_sc1.csv"],
+                    },
+                    "all_types_sc2": {
+                        "required": True,
+                        "metadata": "tests/data/mitigations/meta/all_types_sc2.json",
+                        "expect-header": True,
+                        "allow-missing-cols": True,
+                        "matched_files": ["s3://land/all_types_sc2.csv"],
+                    },
+                    "all_types_sc3": {
+                        "required": True,
+                        "metadata": "tests/data/mitigations/meta/all_types_sc3.json",
+                        "expect-header": True,
+                        "allow-unexpected-data": True,
+                        "matched_files": ["s3://land/all_types_sc3.csv"],
+                    },
+                    "all_types_sc4": {
+                        "required": True,
+                        "metadata": "tests/data/mitigations/meta/all_types_sc4.json",
+                        "expect-header": True,
+                        "allow-unexpected-data": True,
+                        "allow-missing-cols": True,
+                        "matched_files": ["s3://land/all_types_sc4.csv"],
+                    },
+                },
+            },
+            True,
+        ),
+        # failures
+        (
+            {
+                "land-base-path": "s3://land/",
+                "fail-base-path": "s3://fail/",
+                "pass-base-path": "s3://pass/",
+                "log-base-path": "s3://log/",
+                "compress-data": True,
+                "remove-tables-on-pass": False,
+                "all-must-pass": True,
+                "tables": {
+                    "all_types_sc2": {
+                        "required": True,
+                        "metadata": "tests/data/mitigations/meta/all_types_sc2.json",
+                        "expect-header": True,
+                        "allow-missing-cols": False,
+                        "matched_files": ["s3://land/all_types_sc2.csv"],
+                    },
+                    "all_types_sc3": {
+                        "required": True,
+                        "metadata": "tests/data/mitigations/meta/all_types_sc3.json",
+                        "expect-header": True,
+                        "allow-unexpected-data": False,
+                        "matched_files": ["s3://land/all_types_sc3.csv"],
+                    },
+                    "all_types_sc4-a": {
+                        "required": True,
+                        "metadata": "tests/data/mitigations/meta/all_types_sc4.json",
+                        "expect-header": True,
+                        "allow-unexpected-data": False,
+                        "allow-missing-cols": False,
+                        "matched_files": ["s3://land/all_types_sc4.csv"],
+                    },
+                    "all_types_sc4-b": {
+                        "required": True,
+                        "metadata": "tests/data/mitigations/meta/all_types_sc4.json",
+                        "expect-header": True,
+                        "allow-unexpected-data": False,
+                        "allow-missing-cols": True,
+                        "matched_files": ["s3://land/all_types_sc4.csv"],
+                    },
+                    "all_types_sc4-c": {
+                        "required": True,
+                        "metadata": "tests/data/mitigations/meta/all_types_sc4.json",
+                        "expect-header": True,
+                        "allow-unexpected-data": True,
+                        "allow-missing-cols": False,
+                        "matched_files": ["s3://land/all_types_sc4.csv"],
+                    },
+                    "all_types_sc4-d": {
+                        "required": True,
+                        "metadata": "tests/data/mitigations/meta/all_types_sc4.json",
+                        "expect-header": True,
+                        "allow-unexpected-data": False,
+                        "allow-missing-cols": False,
+                        "matched_files": ["s3://land/all_types_sc4.csv"],
+                    },
+                    "all_types_sc5-a": {
+                        "required": True,
+                        "metadata": "tests/data/mitigations/meta/all_types_sc5.json",
+                        "expect-header": True,
+                        "allow-unexpected-data": True,
+                        "allow-missing-cols": True,
+                        "matched_files": ["s3://land/all_types_sc5.csv"],
+                    },
+                    "all_types_sc5-b": {
+                        "required": True,
+                        "metadata": "tests/data/mitigations/meta/all_types_sc5.json",
+                        "expect-header": True,
+                        "allow-unexpected-data": True,
+                        "allow-missing-cols": False,
+                        "matched_files": ["s3://land/all_types_sc5.csv"],
+                    },
+                    "all_types_sc5-c": {
+                        "required": True,
+                        "metadata": "tests/data/mitigations/meta/all_types_sc5.json",
+                        "expect-header": True,
+                        "allow-unexpected-data": False,
+                        "allow-missing-cols": True,
+                        "matched_files": ["s3://land/all_types_sc5.csv"],
+                    },
+                    "all_types_sc5-d": {
+                        "required": True,
+                        "metadata": "tests/data/mitigations/meta/all_types_sc5.json",
+                        "expect-header": True,
+                        "allow-unexpected-data": False,
+                        "allow-missing-cols": False,
+                        "matched_files": ["s3://land/all_types_sc5.csv"],
+                    },
+                },
+            },
+            False,
+        ),
+    ],
+)
+def test_mitigations(s3, config, expected_pass):
+    from data_linter.validation import validate_data
+
+    land_folder = "tests/data/mitigations/data/"
+    set_up_s3(s3, land_folder, config)
+
+    response = validate_data(config)
+    assert response.result["valid"] == expected_pass
diff --git a/tests/test_functions.py b/tests/test_functions.py
index a0631c5..b0c7cea 100644
--- a/tests/test_functions.py
+++ b/tests/test_functions.py
@@ -1,21 +1,6 @@
-import json
-from frictionless import Schema
-
-from data_linter.validators.frictionless_validator import (
-    convert_meta_to_goodtables_schema,
-)
 from data_linter.utils import get_out_path
 
 
-def test_convert_meta_type_to_goodtable_type():
-    with open("tests/data/inputs/basic_meta_data.json") as f:
-        meta = json.load(f)
-
-    gt_schema = convert_meta_to_goodtables_schema(meta)
-
-    assert Schema(gt_schema).metadata_valid is True
-
-
 def test_get_out_path():
     o1 = get_out_path(
         basepath="base_path/", table="table1", ts=1000, filename="file.csv"
diff --git a/tests/test_great_expectations.py b/tests/test_great_expectations.py
deleted file mode 100644
index 39d099e..0000000
--- a/tests/test_great_expectations.py
+++ /dev/null
@@ -1,30 +0,0 @@
-import os
-import json
-import pytest
-
-from data_linter.validators.great_expectations_validator import (
-    GreatExpectationsValidator,
-)
-
-
-@pytest.mark.parametrize(
-    "file_name,expected_result", [("table1_na_test.csv", [False, True])]
-)
-def test_great_expectations(file_name, expected_result):
-    test_folder = "tests/data/great_expectations/"
-    full_file_path = os.path.join(test_folder, file_name)
-
-    table_name = file_name.split(".")[0].split("_")[0]
-    with open(os.path.join(test_folder, f"meta_data/{table_name}.json")) as f:
-        metadata = json.load(f)
-
-    table_params = [{}, {"pandas-kwargs": {"keep_default_na": False}}]
-
-    all_tests = []
-    for table_param in table_params:
-        validator = GreatExpectationsValidator(full_file_path, table_param, metadata)
-        validator.read_data_and_validate()
-        table_response = validator.response.get_result()
-        all_tests.append(table_response["valid"])
-
-    assert expected_result == all_tests
diff --git a/tests/test_headers.py b/tests/test_headers.py
index 0e28741..07ed138 100644
--- a/tests/test_headers.py
+++ b/tests/test_headers.py
@@ -2,20 +2,20 @@
 import json
 import pytest
 
-from data_linter.validators.frictionless_validator import (
-    FrictionlessValidator,
+from data_linter.validators.pandas_validator import (
+    PandasValidator,
 )
 
 
 @pytest.mark.parametrize(
     "file_name,expected_result",
     [
-        ("table1.csv", [True, True, True]),
-        ("table1_mixed_headers.csv", [True, False, True]),
+        ("table1.csv", [False, True, True]),
+        ("table1_mixed_headers.csv", [False, False, True]),
         ("table1_no_header.csv", [True, False, False]),
         ("table2.jsonl", [True, True, True]),
-        ("table2_missing_keys.jsonl", [True, True, True]),
-        ("table2_mixed_headers.jsonl", [False, False, False]),
+        ("table2_missing_keys.jsonl", [False, False, False]),
+        ("table2_mixed_headers.jsonl", [False, False, True]),
         ("table2_wrong_headers.jsonl", [False, False, False]),
     ],
 )
@@ -48,9 +48,9 @@ def test_headers(file_name, expected_result):
 
     all_tests = []
     for table_param in table_params:
-        validator = FrictionlessValidator(full_file_path, table_param, metadata)
+        validator = PandasValidator(full_file_path, table_param, metadata)
         validator.read_data_and_validate()
         table_response = validator.response
-        all_tests.append(table_response["valid"])
+        all_tests.append(table_response.result["valid"])
 
     assert expected_result == all_tests