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hub / github.com/IQEngine/IQEngine / query_metadata

Function query_metadata

api/database/metadata_repo.py:160–366  ·  view source on GitHub ↗

This function is responsible for querying metadata from the specified MongoDB collection based on various query parameters. It performs a database search using the provided criteria and returns a list of dictionaries containing relevant metadata information. Parameters: - metad

(
    account: Optional[List[str]] = [],
    container: Optional[List[str]] = [],
    database_id: Optional[List[str]] = [],
    min_frequency: Optional[float] = None,
    max_frequency: Optional[float] = None,
    author: Optional[str] = None,
    description: Optional[str] = None,
    label: Optional[str] = None,
    comment: Optional[str] = None,
    captures_geo: Optional[str] = None,
    annotations_geo: Optional[str] = None,
    min_datetime: Optional[datetime] = None,
    max_datetime: Optional[datetime] = None,
    text: Optional[str] = None,
    captures_geo_json: Optional[str] = None,
    captures_radius: Optional[float] = None,
    annotations_geo_json: Optional[str] = None,
    annotations_radius: Optional[float] = None,
)

Source from the content-addressed store, hash-verified

158
159
160async def query_metadata(
161 account: Optional[List[str]] = [],
162 container: Optional[List[str]] = [],
163 database_id: Optional[List[str]] = [],
164 min_frequency: Optional[float] = None,
165 max_frequency: Optional[float] = None,
166 author: Optional[str] = None,
167 description: Optional[str] = None,
168 label: Optional[str] = None,
169 comment: Optional[str] = None,
170 captures_geo: Optional[str] = None,
171 annotations_geo: Optional[str] = None,
172 min_datetime: Optional[datetime] = None,
173 max_datetime: Optional[datetime] = None,
174 text: Optional[str] = None,
175 captures_geo_json: Optional[str] = None,
176 captures_radius: Optional[float] = None,
177 annotations_geo_json: Optional[str] = None,
178 annotations_radius: Optional[float] = None,
179) -> List[DataSourceReference]:
180 """
181 This function is responsible for querying metadata from the specified MongoDB collection based on various
182 query parameters. It performs a database search using the provided criteria and returns a list of
183 dictionaries containing relevant metadata information.
184
185 Parameters:
186 - metadataSet (Motor.core.AgnosticCollection): The MongoDB collection where the metadata is stored.
187 - account (Optional[List[str]]): A list of account names to filter the metadata by.
188 - container (Optional[List[str]]): A list of container names to filter the metadata by.
189 - database_id (Optional[List[str]]): A list of database IDs ({account}/{container}), where each entry is a
190 combination of an account and a container, to filter the metadata by.
191 - min_frequency (Optional[float]): The minimum frequency value to filter the metadata by.
192 - max_frequency (Optional[float]): The maximum frequency value to filter the metadata by.
193 - author (Optional[str]): The author's name to filter the metadata by.
194 - description (Optional[str]): A keyword to search for in the global description field to filter the metadata by.
195 - label (Optional[str]): A keyword to search for in the annotations' labels to filter the metadata by.
196 - comment (Optional[str]): A keyword to search for in the annotations' descriptions to filter the metadata by.
197 - captures_geo (Optional[str]): Geolocation information to filter the metadata by in the "captures" section.
198 - annotations_geo (Optional[str]): Geolocation information to filter the metadata by in the "annotations" section.
199 - min_datetime (Optional[datetime]): The minimum datetime value to filter the metadata by.
200 - max_datetime (Optional[datetime]): The maximum datetime value to filter the metadata by.
201 - text (Optional[str]): A keyword to search for in various description fields to filter the metadata by.
202
203 Returns:
204 - A list of dictionaries, each containing the metadata information for a specific data source.
205 The dictionaries contain the following keys:
206 - "type": The type of data source (e.g., "file", "stream").
207 - "account": The account associated with the data source.
208 - "container": The container associated with the data source.
209 - "file_path": The file path of the data source.
210
211 Usage:
212 metadata = await query_metadata(
213 metadataSet=collection,
214 account=["account1", "account2"],
215 min_frequency=10.0,
216 author="John Doe",
217 captures_geo="-175.8,4.4,500000",

Callers 2

query_metaFunction · 0.90
open_query_metaFunction · 0.90

Calls 5

DataSourceReferenceClass · 0.90
process_geolocationFunction · 0.85
collectionFunction · 0.70
updateMethod · 0.65
getMethod · 0.65

Tested by

no test coverage detected