pyseq 0.9.0
Compressed File Sequence String Module
Requires Python: >=3.6

PySeq
=====

PySeq is a python module that finds groups of items that follow a naming
convention containing  a numerical sequence index (e.g. fileA.001.png,
fileA.002.png, fileA.003.png...) and serializes them into a compressed sequence
string representing the entire sequence (e.g. fileA.1-3.png). It should work
regardless of where the numerical sequence index is embedded in the name. For
examples, see basic usage below or http://rsgalloway.github.io/pyseq

[Installation](#installation) |
[Basic Usage](#basic-usage) |
[API Examples](#api-examples) |
[Formatting](#formatting) |
[Command-Line Tools](#command-line-tools) |
[Frame Patterns](#frame-patterns) |
[Testing](#testing)


## Installation

The easiest way to install pyseq:

```bash
$ pip install -U pyseq
```

#### Environment

PySeq uses [envstack](https://github.com/rsgalloway/envstack) to externalize
settings and looks for a `pyseq.env` file to source environment variables:

```bash
$ pip install -U envstack
$ ./pyseq.env -r
PYSEQ_FRAME_PATTERN=\d+
PYSEQ_GLOBAL_FORMAT=%4l %h%p%t %R
PYSEQ_RANGE_SEP=, 
PYSEQ_STRICT_PAD=0
```

#### Distribution

If installing from source you can use [distman](https://github.com/rsgalloway/distman)
to install PySeq using the provided `dist.json` file:

```bash
$ pip install -U distman
$ distman [-d]
```

Using distman will deploy the targets defined in the `dist.json` file to the
root folder defined by `${DEPLOY_ROOT}`:

## Basic Usage

Using the "z1" file sequence example in the "tests" directory, we start by
listing the directory contents using `ls`:

```bash
$ ls tests/files/z1*
tests/files/z1_001_v1.1.png  tests/files/z1_001_v1.4.png  tests/files/z1_002_v1.3.png   tests/files/z1_002_v2.11.png
tests/files/z1_001_v1.2.png  tests/files/z1_002_v1.1.png  tests/files/z1_002_v1.4.png   tests/files/z1_002_v2.12.png
tests/files/z1_001_v1.3.png  tests/files/z1_002_v1.2.png  tests/files/z1_002_v2.10.png  tests/files/z1_002_v2.9.png
```

Now we list the same directory contents using `lss`, which will find the
sequences and display them in the default compressed format:

```bash
$ lss tests/files/z1*
   4 z1_001_v1.%d.png [1-4]
   4 z1_002_v1.%d.png [1-4]
   4 z1_002_v2.%d.png [9-12]
```

Recursivly walk a folder and find all the sequences:

```bash
$ lss -r tests
tests
├── test_pyseq.py
└── files
    ├── 012_vb_110_v001.1-10.png
    ├── 012_vb_110_v002.1-10.png
    ├── a.1-14.tga
    ├── alpha.txt
    ├── bnc01_TinkSO_tx_0_ty_0.101-105.tif
    ├── bnc01_TinkSO_tx_0_ty_1.101-105.tif
    ├── bnc01_TinkSO_tx_1_ty_0.101-105.tif
    ├── bnc01_TinkSO_tx_1_ty_1.101-105.tif
    ├── file.1-99.tif
    ├── file.info.03.rgb
    ├── file01.1-4.j2k
    ├── file01_40-43.rgb
    ├── file02_44-47.rgb
    ├── file1-4.03.rgb
    ├── fileA.1-3.jpg
    ├── fileA.1-3.png
    ├── file_02.tif
    ├── z1_001_v1.1-4.png
    ├── z1_002_v1.1-4.png
    └── z1_002_v2.9-12.png
```

Piping the output of `find` to `lss`, for example finding all the png sequences:

```bash
$ find ./tests/ -name *.png | lss
  10 012_vb_110_v001.%04d.png [1-10]
  10 012_vb_110_v002.%04d.png [1-10]
   3 fileA.%04d.png [1-3]
   4 z1_001_v1.%d.png [1-4]
   4 z1_002_v1.%d.png [1-4]
   4 z1_002_v2.%d.png [9-12]
```

Use the `--format` option to retain the relative path:

```bash
$ find tests/ -name "*.png" | lss -f "%D%h%r%t"
tests/files/012_vb_110_v001.1-10.png
tests/files/012_vb_110_v002.1-10.png
tests/files/fileA.1-3.png
tests/files/z1_001_v1.1-4.png
tests/files/z1_002_v1.1-4.png
tests/files/z1_002_v2.9-12.png
```

## API Examples

Compression, or serialization, of lists of items:

```python
>>> s = Sequence(['file.0001.jpg', 'file.0002.jpg', 'file.0003.jpg'])
>>> print(s)
file.1-3.jpg
>>> s.append('file.0006.jpg')
>>> print(s.format("%h%p%t %R"))
file.%04d.jpg [1-3, 6]
```

Uncompression, or deserialization, of compressed sequences strings:

```python
>>> s = uncompress('./tests/012_vb_110_v001.%04d.png 1-1001', fmt='%h%p%t %r')
>>> len(s)
1001
>>> print(s.format('%04l %h%p%t %R'))
1001 012_vb_110_v001.%04d.png [1-1001]
```

Walk a directory tree and print disk usage for file sequences:

```python
>>> for root, dirs, seqs in pyseq.walk(folder):
...     for seq in seqs:
...         print(seq.format("%h%r%t %H"))
012_vb_110_v001.1000-1321.exr   123.5G
012_vb_110_v002.1000-1163.exr    40.2G
012_vb_110_v003.1000-1027.exr    72.2G
```

## Formatting

The following directives can be embedded in the format string.

| Directive | Meaning                              |
|-----------|--------------------------------------|
| `%s`      | sequence start                       |
| `%e`      | sequence end                         |
| `%l`      | sequence length                      |
| `%f`      | list of found files                  |
| `%m`      | list of missing files                |
| `%M`      | explicit missing files [11-14,19-21] |
| `%p`      | padding, e.g. %06d                   |
| `%r`      | implied range, start-end             |
| `%R`      | explicit broken range, [1-10, 15-20] |
| `%d`      | disk usage                           |
| `%H`      | disk usage (human readable)          |
| `%D`      | parent directory                     |
| `%h`      | string preceding sequence number     |
| `%t`      | string after the sequence number     |

Here are some examples using `lss -f <format>` and `seq.format(..)`:

Using `lss -f <format>`:

```bash
$ lss tests/files/a*.tga -f "%h%r%t"
a.1-14.tga
$ lss tests/files/a*.tga -f "%l %h%r%t"
7 a.1-14.tga
$ lss tests/files/a*.tga -f "%l %h%r%t %M"
7 a.1-14.tga [4-9, 11]
```

In Python, using `seq.format(..)`:

```python
>>> s = pyseq.get_sequences("tests/files/a*.tga")[0]
>>> print(s.format("%h%r%t"))
a.1-14.tga
>>> print(s.format("%l %h%r%t"))
7 a.1-14.tga
>>> print(s.format("%l %h%r%t %M"))
7 a.1-14.tga [4-9, 11]
```

## Command-Line Tools

PySeq comes with the following sequence-aware command-line tools:

| Command | Description                           | Example Usage                    |
| ------- | ------------------------------------- | -------------------------------- |
| `lss`   | List image sequences in a directory   | `lss shots/`                     |
| `stree` | Display sequence-aware directory tree | `stree shots/`                   |
| `sfind` | Recursively find image sequences      | `sfind assets/ -name "*.exr"`   |
| `sdiff` | Compare two sequences                 | `sdiff A.%04d.exr B.%04d.exr`    |
| `sstat` | Print detailed stats about a sequence | `sstat render.%04d.exr`          |
| `scopy` | Copy a sequence to another directory  | `scopy a.%04d.exr /tmp/output/`  |
| `smove` | Move a sequence to another directory  | `smove b.%04d.exr /tmp/archive/` |

Example commands:

```bash
# List sequences in a folder
$ lss tests/files

# Show directory structure with grouped sequences
$ stree tests/

# Find all .png sequences recursively
$ sfind ./tests -name "*.png"

# Compare two sequences and print diffs
$ sdiff comp_A.%04d.exr comp_B.%04d.exr

# Show stats for a sequence
$ sstat render.%04d.exr
$ sstat --json render.%04d.exr

# Copy a sequence and rename it
$ scopy input.%04d.exr output/ --rename scene01

# Move and renumber a sequence starting at frame 1001
$ smove old.%04d.exr archive/ --renumber 1001
```

## Frame Patterns

The environment var `${PYSEQ_FRAME_PATTERN}` can be used to define custom regex
patterns for identifying frame numbers. For example if frames are always preceded
with an _, you might use:

```bash
$ export PYSEQ_FRAME_PATTERN="_\d+"
```

Environment vars can be defined anywhere in your environment, or if using
[envstack](https://github.com/rsgalloway/envstack) add it to the
`pyseq.env` file and make sure it's found in `${ENVPATH}`:

```bash
$ export ENVPATH=/path/to/env/files
```

Examples of regex patterns can be found in the `pyseq.env` file:

```yaml
# matches all numbers, the most flexible
PYSEQ_FRAME_PATTERN: \d+

# excludes version numbers, e.g. file_v001.1001.exr
PYSEQ_FRAME_PATTERN: ([^v\d])\d+

# frame numbers are dot-delimited, e.g. file.v1.1001.exr
PYSEQ_FRAME_PATTERN: \.\d+\.

# frame numbers start with an underscore, e.g. file_v1_1001.exr
PYSEQ_FRAME_PATTERN: _\d+
```

## Testing

To run the unit tests, simply run `pytest` in a shell:

```bash
$ pytest tests/
```