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"""Document Loader for ArcGIS FeatureLayers.""" | |
from __future__ import annotations | |
import json | |
import re | |
import warnings | |
from datetime import datetime, timezone | |
from typing import TYPE_CHECKING, Any, Iterator, List, Optional, Union | |
from langchain.docstore.document import Document | |
from langchain.document_loaders.base import BaseLoader | |
if TYPE_CHECKING: | |
import arcgis | |
_NOT_PROVIDED = "(Not Provided)" | |
class ArcGISLoader(BaseLoader): | |
"""Load records from an ArcGIS FeatureLayer.""" | |
def __init__( | |
self, | |
layer: Union[str, arcgis.features.FeatureLayer], | |
gis: Optional[arcgis.gis.GIS] = None, | |
where: str = "1=1", | |
out_fields: Optional[Union[List[str], str]] = None, | |
return_geometry: bool = False, | |
result_record_count: Optional[int] = None, | |
lyr_desc: Optional[str] = None, | |
**kwargs: Any, | |
): | |
try: | |
import arcgis | |
except ImportError as e: | |
raise ImportError( | |
"arcgis is required to use the ArcGIS Loader. " | |
"Install it with pip or conda." | |
) from e | |
try: | |
from bs4 import BeautifulSoup # type: ignore | |
self.BEAUTIFULSOUP = BeautifulSoup | |
except ImportError: | |
warnings.warn("BeautifulSoup not found. HTML will not be parsed.") | |
self.BEAUTIFULSOUP = None | |
self.gis = gis or arcgis.gis.GIS() | |
if isinstance(layer, str): | |
self.url = layer | |
self.layer = arcgis.features.FeatureLayer(layer, gis=gis) | |
else: | |
self.url = layer.url | |
self.layer = layer | |
self.layer_properties = self._get_layer_properties(lyr_desc) | |
self.where = where | |
if isinstance(out_fields, str): | |
self.out_fields = out_fields | |
elif out_fields is None: | |
self.out_fields = "*" | |
else: | |
self.out_fields = ",".join(out_fields) | |
self.return_geometry = return_geometry | |
self.result_record_count = result_record_count | |
self.return_all_records = not isinstance(result_record_count, int) | |
query_params = dict( | |
where=self.where, | |
out_fields=self.out_fields, | |
return_geometry=self.return_geometry, | |
return_all_records=self.return_all_records, | |
result_record_count=self.result_record_count, | |
) | |
query_params.update(kwargs) | |
self.query_params = query_params | |
def _get_layer_properties(self, lyr_desc: Optional[str] = None) -> dict: | |
"""Get the layer properties from the FeatureLayer.""" | |
import arcgis | |
layer_number_pattern = re.compile(r"/\d+$") | |
props = self.layer.properties | |
if lyr_desc is None: | |
# retrieve description from the FeatureLayer if not provided | |
try: | |
if self.BEAUTIFULSOUP: | |
lyr_desc = self.BEAUTIFULSOUP(props["description"]).text | |
else: | |
lyr_desc = props["description"] | |
lyr_desc = lyr_desc or _NOT_PROVIDED | |
except KeyError: | |
lyr_desc = _NOT_PROVIDED | |
try: | |
item_id = props["serviceItemId"] | |
item = self.gis.content.get(item_id) or arcgis.features.FeatureLayer( | |
re.sub(layer_number_pattern, "", self.url), | |
) | |
try: | |
raw_desc = item.description | |
except AttributeError: | |
raw_desc = item.properties.description | |
if self.BEAUTIFULSOUP: | |
item_desc = self.BEAUTIFULSOUP(raw_desc).text | |
else: | |
item_desc = raw_desc | |
item_desc = item_desc or _NOT_PROVIDED | |
except KeyError: | |
item_desc = _NOT_PROVIDED | |
return { | |
"layer_description": lyr_desc, | |
"item_description": item_desc, | |
"layer_properties": props, | |
} | |
def lazy_load(self) -> Iterator[Document]: | |
"""Lazy load records from FeatureLayer.""" | |
query_response = self.layer.query(**self.query_params) | |
features = (feature.as_dict for feature in query_response) | |
for feature in features: | |
attributes = feature["attributes"] | |
page_content = json.dumps(attributes) | |
metadata = { | |
"accessed": f"{datetime.now(timezone.utc).isoformat()}Z", | |
"name": self.layer_properties["layer_properties"]["name"], | |
"url": self.url, | |
"layer_description": self.layer_properties["layer_description"], | |
"item_description": self.layer_properties["item_description"], | |
"layer_properties": self.layer_properties["layer_properties"], | |
} | |
if self.return_geometry: | |
try: | |
metadata["geometry"] = feature["geometry"] | |
except KeyError: | |
warnings.warn( | |
"Geometry could not be retrieved from the feature layer." | |
) | |
yield Document(page_content=page_content, metadata=metadata) | |
def load(self) -> List[Document]: | |
"""Load all records from FeatureLayer.""" | |
return list(self.lazy_load()) | |