planet data filter CLI command with all options

docs/guide.md

@@ -481,3 +481,33 @@ Example: `tools.json`
 ]
 ```
 
+### Data API
+
+Most `data` cli commands are simple wrappers around the
+[Planet Data API](https://developers.planet.com/docs/apis/data/reference/)
+commands with the only difference being the addition of functionality to create
+a search filter, activate an asset, poll for when activation is complete, and
+download the asset.
+
+
+#### Filter
+
+The search-related Data API CLI commands require a search filter. The filter
+CLI command provides basic functionality for generating this filter. For
+more advanced functionality, use the Python API `data_filter` commands.
+
+The following is an example of using the filter command to generate a filter
+that specifies an aquired date range and AOI:
+
+```console
+$ planet data filter \
+    --date-range acquired gte 2022-01-01 \
+    --date-range acquired lt 2022-02-01 \
+    --geom aoi.json
+```
+
+This can be fed directly into a search command e.g.:
+
+```console
+$ planet data filter --geom aoi.json | planet data search-quick PSScene -
+```

planet/cli/data.py

@@ -1,11 +1,25 @@
+# Copyright 2022 Planet Labs PBC.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"); you may not
+# use this file except in compliance with the License. You may obtain a copy of
+# the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations under
+# the License.
 """The Planet Data CLI."""
-
+from datetime import datetime
 import json
-from typing import List
+from typing import List, Optional
 from contextlib import asynccontextmanager
 
 import click
-from planet import DataClient, Session
+
+from planet import data_filter, exceptions, io, DataClient, Session
 
 from .cmds import coro, translate_exceptions
 from .io import echo_json
@@ -66,7 +80,272 @@ def parse_filter(ctx, param, value: str) -> dict:
         return json_value
 
 
-# TODO: filter().
+def geom_to_filter(ctx, param, value: str) -> dict:
+    if value is None:
+        return value
+
+    geom = _parse_geom(ctx, param, value)
+    return data_filter.geometry_filter(geom)
+
+
+def _parse_geom(ctx, param, value: str) -> dict:
+    """Turn geom JSON into a dict."""
+    # read from raw json
+    if value.startswith('{'):
+        try:
+            json_value = json.loads(value)
+        except json.decoder.JSONDecodeError:
+            raise click.BadParameter('geom does not contain valid json.',
+                                     ctx=ctx,
+                                     param=param)
+        if json_value == {}:
+            raise click.BadParameter('geom is empty.', ctx=ctx, param=param)
+    # read from stdin or file
+    else:
+        try:
+            with click.open_file(value) as f:
+                json_value = json.load(f)
+        except json.decoder.JSONDecodeError:
+            raise click.BadParameter('geom does not contain valid json.',
+                                     ctx=ctx,
+                                     param=param)
+    return json_value
+
+
+class FieldType(click.ParamType):
+    """Clarify that this entry is for a field"""
+    name = 'field'
+
+
+class ComparisonType(click.ParamType):
+    name = 'comp'
+    valid = ['lt', 'lte', 'gt', 'gte']
+
+    def convert(self, value, param, ctx) -> str:
+        if value not in self.valid:
+            self.fail(f'COMP ({value}) must be one of {",".join(self.valid)}',
+                      param,
+                      ctx)
+        return value
+
+
+class GTComparisonType(ComparisonType):
+    """Only support gt or gte comparison"""
+    valid = ['gt', 'gte']
+
+
+class DateTimeType(click.ParamType):
+    name = 'datetime'
+
+    def convert(self, value, param, ctx) -> datetime:
+        if not isinstance(value, datetime):
+            try:
+                value = io.str_to_datetime(value)
+            except exceptions.PlanetError as e:
+                self.fail(str(e))
+
+        return value
+
+
+class CommaSeparatedString(click.types.StringParamType):
+    """A list of strings that is extracted from a comma-separated string."""
+
+    def convert(self, value, param, ctx) -> List[str]:
+        value = super().convert(value, param, ctx)
+
+        if not isinstance(value, list):
+            value = [part.strip() for part in value.split(",")]
+
+        return value
+
+
+class CommaSeparatedFloat(click.types.StringParamType):
+    """A list of floats that is extracted from a comma-separated string."""
+    name = 'VALUE'
+
+    def convert(self, value, param, ctx) -> List[float]:
+        values = CommaSeparatedString().convert(value, param, ctx)
+
+        try:
+            ret = [float(v) for v in values]
+        except ValueError:
+            self.fail(f'Cound not convert all entries in {value} to float.')
+
+        return ret
+
+
+def assets_to_filter(ctx, param, assets: List[str]) -> Optional[dict]:
+    # TODO: validate and normalize
+    return data_filter.asset_filter(assets) if assets else None
+
+
+def date_range_to_filter(ctx, param, values) -> Optional[List[dict]]:
+
+    def _func(obj):
+        field, comp, value = obj
+        kwargs = {'field_name': field, comp: value}
+        return data_filter.date_range_filter(**kwargs)
+
+    return [_func(v) for v in values] if values else None
+
+
+def range_to_filter(ctx, param, values) -> Optional[List[dict]]:
+
+    def _func(obj):
+        field, comp, value = obj
+        kwargs = {'field_name': field, comp: value}
+        return data_filter.range_filter(**kwargs)
+
+    return [_func(v) for v in values] if values else None
+
+
+def update_to_filter(ctx, param, values) -> Optional[List[dict]]:
+
+    def _func(obj):
+        field, comp, value = obj
+        kwargs = {'field_name': field, comp: value}
+        return data_filter.update_filter(**kwargs)
+
+    return [_func(v) for v in values] if values else None
+
+
+def number_in_to_filter(ctx, param, values) -> Optional[List[dict]]:
+
+    def _func(obj):
+        field, values = obj
+        return data_filter.number_in_filter(field_name=field, values=values)
+
+    return [_func(v) for v in values] if values else None
+
+
+def string_in_to_filter(ctx, param, values) -> Optional[List[dict]]:
+
+    def _func(obj):
+        field, values = obj
+        return data_filter.string_in_filter(field_name=field, values=values)
+
+    return [_func(v) for v in values] if values else None
+
+
+@data.command()
+@click.pass_context
+@translate_exceptions
+@pretty
+@click.option('--asset',
+              type=CommaSeparatedString(),
+              default=None,
+              callback=assets_to_filter,
+              help="""Filter to items with one or more of specified assets.
+    VALUE is a comma-separated list of entries.
+    When multiple entries are specified, an implicit 'or' logic is applied.""")
+@click.option('--date-range',
+              type=click.Tuple([FieldType(), ComparisonType(),
+                                DateTimeType()]),
+              callback=date_range_to_filter,
+              multiple=True,
+              help="""Filter by date range in field.
+    FIELD is the name of the field to filter on.
+    COMP can be lt, lte, gt, or gte.
+    DATETIME can be an RFC3339 or ISO 8601 string.""")
+@click.option('--geom',
+              type=str,
+              default=None,
+              callback=geom_to_filter,
+              help='Filter to items that overlap a given geometry.')
+@click.option('--number-in',
+              type=click.Tuple([FieldType(), CommaSeparatedFloat()]),
+              multiple=True,
+              callback=number_in_to_filter,
+              help="""Filter field by numeric in.
+    FIELD is the name of the field to filter on.
+    VALUE is a comma-separated list of entries.
+    When multiple entries are specified, an implicit 'or' logic is applied.""")
+@click.option('--range',
+              'nrange',
+              type=click.Tuple([FieldType(), ComparisonType(), float]),
+              callback=range_to_filter,
+              multiple=True,
+              help="""Filter by date range in field.
+    FIELD is the name of the field to filter on.
+    COMP can be lt, lte, gt, or gte.
+    DATETIME can be an RFC3339 or ISO 8601 string.""")
+@click.option('--string-in',
+              type=click.Tuple([FieldType(), CommaSeparatedString()]),
+              multiple=True,
+              callback=string_in_to_filter,
+              help="""Filter field by numeric in.
+    FIELD is the name of the field to filter on.
+    VALUE is a comma-separated list of entries.
+    When multiple entries are specified, an implicit 'or' logic is applied.""")
+@click.option(
+    '--update',
+    type=click.Tuple([FieldType(), GTComparisonType(), DateTimeType()]),
+    callback=update_to_filter,
+    multiple=True,
+    help="""Filter to items with changes to a specified field value made after
+    a specified date.
+    FIELD is the name of the field to filter on.
+    COMP can be gt or gte.
+    DATETIME can be an RFC3339 or ISO 8601 string.""")
+@click.option('--permission',
+              type=bool,
+              default=True,
+              show_default=True,
+              help='Filter to assets with download permissions.')
+@click.option('--std-quality',
+              type=bool,
+              default=True,
+              show_default=True,
+              help='Filter to standard quality.')
+def filter(ctx,
+           asset,
+           date_range,
+           geom,
+           number_in,
+           nrange,
+           string_in,
+           update,
+           permission,
+           pretty,
+           std_quality):
+    """Create a structured item search filter.
+
+    This command provides basic functionality for specifying a filter by
+    creating an AndFilter with the filters identified with the options as
+    inputs. This is only a subset of the complex filtering supported by the
+    API. For advanced filter creation, either create the filter by hand or use
+    the Python API.
+    """
+    permission = data_filter.permission_filter() if permission else None
+    std_quality = data_filter.std_quality_filter() if std_quality else None
+
+    filter_options = (asset,
+                      date_range,
+                      geom,
+                      number_in,
+                      nrange,
+                      string_in,
+                      update,
+                      permission,
+                      std_quality)
+
+    # options allowing multiples are broken up so one filter is created for
+    # each time the option is specified
+    # unspecified options are skipped
+    filters = []
+    for f in filter_options:
+        if f:
+            if isinstance(f, list):
+                filters.extend(f)
+            else:
+                filters.append(f)
+
+    if filters:
+        if len(filters) > 1:
+            filt = data_filter.and_filter(filters)
+        else:
+            filt = filters[0]
+        echo_json(filt, pretty)
 
 
 @data.command()
@@ -85,8 +364,11 @@ def parse_filter(ctx, param, value: str) -> dict:
               default=100,
               help='Maximum number of results to return. Defaults to 100.')
 async def search_quick(ctx, item_types, filter, name, limit, pretty):
-    """This function executes a structured item search using the item_types,
+    """Execute a structured item search.
+
+    This function executes a structured item search using the item_types,
     and json filter specified (using file or stdin).
+
     Quick searches are stored for approximately 30 days and the --name
     parameter will be applied to the stored quick search. This function
     outputs a series of GeoJSON descriptions, one for each of the returned
@@ -118,13 +400,14 @@ async def search_quick(ctx, item_types, filter, name, limit, pretty):
               is_flag=True,
               help='Send a daily email when new results are added.')
 async def search_create(ctx, name, item_types, filter, daily_email, pretty):
-    """ This function creates a new saved structured item search, using the
+    """Create a new saved structured item search.
+
+    This function creates a new saved structured item search, using the
     name of the search, item_types, and json filter specified (using file or
     stdin). If specified, the "--daily_email" option enables users to recieve
     an email when new results are available each day. This function outputs a
     full JSON description of the created search. The output can also be
     optionally pretty-printed using "--pretty".
-
     """
     async with data_client(ctx) as cl:
         items = await cl.create_search(name=name,
@@ -141,7 +424,7 @@ async def search_create(ctx, name, item_types, filter, daily_email, pretty):
 @pretty
 @click.argument('search_id')
 async def search_get(ctx, search_id, pretty):
-    """Get saved search.
+    """Get a saved search.
 
     This function obtains an existing saved search, using the search_id.
     This function outputs a full JSON description of the identified saved

planet/constants.py

@@ -16,6 +16,8 @@
 import os
 from pathlib import Path
 
+# NOTE: entries are given in alphabetical order
+
 DATA_DIR = Path(os.path.dirname(__file__)) / 'data'
 
 PLANET_BASE_URL = 'https://api.planet.com'