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New Forge Algorithms #30

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a87f3e7
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have lon lat variable have groups
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3 changes: 2 additions & 1 deletion .pylintrc
Original file line number Diff line number Diff line change
Expand Up @@ -69,7 +69,8 @@ disable=raw-checker-failed,
deprecated-pragma,
use-symbolic-message-instead,
too-many-arguments,
too-many-locals
too-many-locals,
too-many-positional-arguments
# Enable the message, report, category or checker with the given id(s). You can
# either give multiple identifier separated by comma (,) or put this option
# multiple time (only on the command line, not in the configuration file where
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6 changes: 6 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -8,6 +8,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
## [Unreleased]

### Added
- Updated alpha shape algorithm with bin average thinning
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Update this with the new suggestions too

- Added in open cv strategy as an option for footprinting
- Added in an open cv algorithm for footprinting
- Added License
- Update way configuration structure are for forge-py
- Update documentations
### Deprecated
### Removed
### Fixed
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201 changes: 201 additions & 0 deletions LICENSE
Original file line number Diff line number Diff line change
@@ -0,0 +1,201 @@
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85 changes: 84 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
@@ -1,4 +1,87 @@
# forge-py

Tool to generate footprints
The Footprint Generator project provides tools for generating geographic footprints from various data sources. This tool supports different generation strategies using open cv or alpha shape.

## Installation

**Using pip:**

```bash
pip install forge-py
```

**Using poetry:**

```bash
poetry install
```

## CLI Usage

```bash
forge-py -c configuration_file.cfg -g granule_file.nc
```

The forge-py command-line tool accepts the following options:

- **`-c`, `--config`**: _(Optional)_ Specifies the path to the configuration file. This file contains parameters for customizing the footprint generation process.

- **`-g`, `--granule`**: _(Required)_ Specifies the path to the data granule file. This file contains the raw data used to generate the footprints.


## Footprint Configuration

The configuration file specifies the parameters for generating footprints from various data sources, primarily using OpenCV and Alpha Shape algorithms.

## Configuration Options

### `footprint`
* **`lonVar`** (string, required): Longitude variable in the dataset include group if in one.
* **`latVar`** (string, required): Latitude variable in the dataset include group if in one.
* **`is360`** (boolean, optional, default: False): Indicates if the data is in 360 format.
* **`strategy`** (optional, default: alpha_shape):
* **`open_cv`**: Uses OpenCV-based image processing techniques to extract footprints.
* **`alpha_shape`**: Employs the Alpha Shape algorithm to construct footprints from point data.

* **`open_cv`**:
* **`pixel_height`** (int, optional, default: 1800): Desired pixel height for the input image.
* **`min_area`** (int, optional): Minimum area for polygons to be retained.
* **`fill_kernel`** (list of int, optional, default: [20,20]): Kernel size for filling holes in polygons.
* **`simplify`** (float, optional,): Controls the level of simplification applied to extracted polygons.

* **`alpha_shape`**:
* **`alpha`** (float, optional, default: 0.05): Alpha value for the Alpha Shape algorithm, affecting the shape of polygons.
* **`thinning`** (dic, optional):
* **`method`** (string): Thinning method to apply to the Alpha Shape.
* **`value`** (list of float or float): Thinning parameters.
* **`cutoff_lat`** (int, optional): Latitude cutoff for smoothing.
* **`min_area`** (int, optional): Minimum area for polygons to be retained.
* **`smooth_poles`** (list of int, optional): Latitude range for smoothing near poles.
* **`simplify`** (float, optional): Controls the level of simplification applied to extracted polygons.

## Example Configuration

```json
{
"latVar":"group1/group2/lat",
"lonVar":"group1/group2/lon",
"timeVar":"time",
"is360":false,
"footprint":{
"strategy": "open_cv",
"open_cv": {
"pixel_height": 1000,
"simplify":0.3,
"min_area": 30,
"fill_kernel": [30,30],
},
"alpha_shape": {
"alpha":0.2,
"thinning": {"method": "bin_avg", "value": [0.5, 0.5]},
"cutoff_lat": 80,
"smooth_poles": [78,80],
"simplify" : 0.3,
"min_area": 30
}
}
}
33 changes: 10 additions & 23 deletions podaac/forge_py/cli.py
Original file line number Diff line number Diff line change
Expand Up @@ -5,9 +5,9 @@
import sys
import copy
import json
import os
from datetime import datetime, timezone
import xarray as xr
import numpy as np

from podaac.forge_py.args import parse_args
from podaac.forge_py.file_util import make_absolute
Expand Down Expand Up @@ -58,28 +58,15 @@ def main(args=None):
config_file = args.config
local_file = args.granule

with open(config_file) as config_f:
read_config = json.load(config_f)

longitude_var = read_config.get('lonVar')
latitude_var = read_config.get('latVar')
is360 = read_config.get('is360', False)

thinning_fac = read_config.get('footprint', {}).get('thinning_fac', 100)
alpha = read_config.get('footprint', {}).get('alpha', 0.05)
strategy = read_config.get('footprint', {}).get('strategy', None)
simplify = read_config.get('footprint', {}).get('simplify', 0.1)
group = read_config.get('footprint', {}).get('group')
cutoff_lat = read_config.get('footprint', {}).get('cutoff_lat', None)
smooth_poles = read_config.get('footprint', {}).get('smooth_poles', None)
fill_value = read_config.get('footprint', {}).get('fill_value', np.nan)

# Generate footprint
with xr.open_dataset(local_file, group=group, decode_times=False) as ds:
lon_data = ds[longitude_var]
lat_data = ds[latitude_var]
wkt_representation = forge.generate_footprint(lon_data, lat_data, thinning_fac=thinning_fac, alpha=alpha, is360=is360, simplify=simplify,
cutoff_lat=cutoff_lat, smooth_poles=smooth_poles, strategy=strategy, fill_value=fill_value)
strategy, footprint_params = forge.load_footprint_config(config_file)
footprint_params["path"] = os.getcwd()
with xr.open_dataset(local_file, group=footprint_params.get('group'), decode_times=False) as ds:
lon_data = ds[footprint_params['longitude_var']]
lat_data = ds[footprint_params['latitude_var']]

wkt_representation = forge.generate_footprint(
lon_data, lat_data, strategy=strategy, **footprint_params
)

if args.output_file:
with open(args.output_file, "w") as json_file:
Expand Down
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