[gcp][feat] Add firestore service collection

plugins/gcp/fix_plugin_gcp/collector.py

@@ -4,7 +4,7 @@
 
 from fix_plugin_gcp.config import GcpConfig
 from fix_plugin_gcp.gcp_client import GcpApiSpec
-from fix_plugin_gcp.resources import compute, container, billing, sqladmin, storage, aiplatform
+from fix_plugin_gcp.resources import compute, container, billing, sqladmin, storage, aiplatform, firestore
 from fix_plugin_gcp.resources.base import GcpResource, GcpProject, ExecutorQueue, GraphBuilder, GcpRegion, GcpZone
 from fix_plugin_gcp.utils import Credentials
 from fixlib.baseresources import Cloud
@@ -19,6 +19,7 @@
     + sqladmin.resources
     + storage.resources
     + aiplatform.resources
+    + firestore.resources
 )
 
 

plugins/gcp/fix_plugin_gcp/resources/aiplatform.py

@@ -1886,19 +1886,6 @@ def connect_in_graph(self, builder: GraphBuilder, source: Json) -> None:
 @define(eq=False, slots=False)
 class GcpVertexAIArtifact:
     kind: ClassVar[str] = "gcp_vertex_ai_artifact"
-    _kind_display = ""
-    _kind_service = ""
-    api_spec: ClassVar[GcpApiSpec] = GcpApiSpec(
-        service="aiplatform",
-        version="v1",
-        service_with_region_prefix=True,
-        accessors=["projects", "locations", "metadataStores", "artifacts"],
-        action="list",
-        request_parameter={"parent": "projects/{project}/locations/{region}"},
-        request_parameter_in={"project", "region"},
-        response_path="artifacts",
-        response_regional_sub_path=None,
-    )
     mapping: ClassVar[Dict[str, Bender]] = {
         "id": S("name").or_else(S("id")).or_else(S("selfLink")),
         "tags": S("labels", default={}),
@@ -2519,19 +2506,6 @@ class GcpVertexAIPipelineTaskDetailPipelineTaskStatus:
 @define(eq=False, slots=False)
 class GcpVertexAIExecution:
     kind: ClassVar[str] = "gcp_vertex_ai_execution"
-    _kind_display = ""
-    _kind_service = ""
-    api_spec: ClassVar[GcpApiSpec] = GcpApiSpec(
-        service="aiplatform",
-        version="v1",
-        service_with_region_prefix=True,
-        accessors=["projects", "locations", "metadataStores", "executions"],
-        action="list",
-        request_parameter={"parent": "projects/{project}/locations/{region}"},
-        request_parameter_in={"project", "location"},
-        response_path="executions",
-        response_regional_sub_path=None,
-    )
     mapping: ClassVar[Dict[str, Bender]] = {
         "id": S("name").or_else(S("id")).or_else(S("selfLink")),
         "tags": S("labels", default={}),
@@ -2597,19 +2571,6 @@ class GcpVertexAIPipelineTaskDetail:
 @define(eq=False, slots=False)
 class GcpVertexAIContext:
     kind: ClassVar[str] = "gcp_vertex_ai_context"
-    _kind_display = ""
-    _kind_service = ""
-    api_spec: ClassVar[GcpApiSpec] = GcpApiSpec(
-        service="aiplatform",
-        version="v1",
-        service_with_region_prefix=True,
-        accessors=["projects", "locations", "metadataStores", "contexts"],
-        action="list",
-        request_parameter={"parent": "projects/{project}/locations/{region}"},
-        request_parameter_in={"project", "location"},
-        response_path="contexts",
-        response_regional_sub_path=None,
-    )
     mapping: ClassVar[Dict[str, Bender]] = {
         "id": S("name").or_else(S("id")).or_else(S("selfLink")),
         "tags": S("labels", default={}),

plugins/gcp/fix_plugin_gcp/resources/firestore.py

@@ -0,0 +1,291 @@
+from datetime import datetime
+import logging
+from typing import ClassVar, Dict, Optional, List, Any, Type
+
+from attr import define, field
+
+from fix_plugin_gcp.gcp_client import GcpApiSpec
+from fix_plugin_gcp.resources.base import GcpErrorHandler, GcpResource, GcpDeprecationStatus, GraphBuilder
+from fixlib.baseresources import BaseDatabase, ModelReference
+from fixlib.json_bender import Bender, S, Bend, MapDict
+from fixlib.types import Json
+
+log = logging.getLogger("fix.plugins.gcp")
+
+
+# https://cloud.google.com/firestore/docs
+
+service_name = "firestore"
+
+
+@define(eq=False, slots=False)
+class GcpFirestoreCmekConfig:
+    kind: ClassVar[str] = "gcp_firestore_cmek_config"
+    mapping: ClassVar[Dict[str, Bender]] = {
+        "active_key_version": S("activeKeyVersion", default=[]),
+        "kms_key_name": S("kmsKeyName"),
+    }
+    active_key_version: Optional[List[str]] = field(default=None)
+    kms_key_name: Optional[str] = field(default=None)
+
+
+@define(eq=False, slots=False)
+class GcpFirestoreSourceInfo:
+    kind: ClassVar[str] = "gcp_firestore_source_info"
+    mapping: ClassVar[Dict[str, Bender]] = {"backup": S("backup", "backup"), "operation": S("operation")}
+    backup: Optional[str] = field(default=None)
+    operation: Optional[str] = field(default=None)
+
+
+@define(eq=False, slots=False)
+class GcpFirestoreDatabase(GcpResource, BaseDatabase):
+    kind: ClassVar[str] = "gcp_firestore_database"
+    _kind_display: ClassVar[str] = "GCP Firestore Database"
+    _kind_description: ClassVar[str] = (
+        "A Firestore Database in GCP, which is a scalable NoSQL cloud database to store and sync data for client- and server-side development."
+    )
+    _kind_service: ClassVar[Optional[str]] = service_name
+    _metadata: ClassVar[Dict[str, Any]] = {"icon": "database", "group": "storage"}
+    _reference_kinds: ClassVar[ModelReference] = {
+        "successors": {
+            "default": [
+                "gcp_firestore_document",
+            ],
+        },
+    }
+    api_spec: ClassVar[GcpApiSpec] = GcpApiSpec(
+        service="firestore",
+        version="v1",
+        accessors=["projects", "databases"],
+        action="list",
+        request_parameter={"parent": "projects/{project}"},
+        request_parameter_in={"project"},
+        response_path="databases",
+        response_regional_sub_path=None,
+    )
+    mapping: ClassVar[Dict[str, Bender]] = {
+        "id": S("name").or_else(S("id")).or_else(S("selfLink")),
+        "tags": S("labels", default={}),
+        "name": S("name"),
+        "ctime": S("creationTimestamp"),
+        "description": S("description"),
+        "link": S("selfLink"),
+        "label_fingerprint": S("labelFingerprint"),
+        "deprecation_status": S("deprecated", default={}) >> Bend(GcpDeprecationStatus.mapping),
+        "app_engine_integration_mode": S("appEngineIntegrationMode"),
+        "cmek_config": S("cmekConfig", default={}) >> Bend(GcpFirestoreCmekConfig.mapping),
+        "concurrency_mode": S("concurrencyMode"),
+        "create_time": S("createTime"),
+        "delete_protection_state": S("deleteProtectionState"),
+        "delete_time": S("deleteTime"),
+        "earliest_version_time": S("earliestVersionTime"),
+        "etag": S("etag"),
+        "key_prefix": S("keyPrefix"),
+        "location_id": S("locationId"),
+        "point_in_time_recovery_enablement": S("pointInTimeRecoveryEnablement"),
+        "previous_id": S("previousId"),
+        "source_info": S("sourceInfo", default={}) >> Bend(GcpFirestoreSourceInfo.mapping),
+        "type": S("type"),
+        "uid": S("uid"),
+        "update_time": S("updateTime"),
+        "version_retention_period": S("versionRetentionPeriod"),
+    }
+    app_engine_integration_mode: Optional[str] = field(default=None)
+    cmek_config: Optional[GcpFirestoreCmekConfig] = field(default=None)
+    concurrency_mode: Optional[str] = field(default=None)
+    create_time: Optional[datetime] = field(default=None)
+    delete_protection_state: Optional[str] = field(default=None)
+    delete_time: Optional[datetime] = field(default=None)
+    earliest_version_time: Optional[datetime] = field(default=None)
+    etag: Optional[str] = field(default=None)
+    key_prefix: Optional[str] = field(default=None)
+    location_id: Optional[str] = field(default=None)
+    point_in_time_recovery_enablement: Optional[str] = field(default=None)
+    previous_id: Optional[str] = field(default=None)
+    source_info: Optional[GcpFirestoreSourceInfo] = field(default=None)
+    type: Optional[str] = field(default=None)
+    uid: Optional[str] = field(default=None)
+    update_time: Optional[datetime] = field(default=None)
+    version_retention_period: Optional[str] = field(default=None)
+
+    @classmethod
+    def called_collect_apis(cls) -> List[GcpApiSpec]:
+        return [
+            cls.api_spec,
+            GcpApiSpec(
+                service="firestore",
+                version="v1",
+                accessors=["projects", "databases", "documents"],
+                action="list",
+                request_parameter={"parent": "projects/{project}/databases/{databaseId}/documents"},
+                request_parameter_in={"project", "databaseId"},
+                response_path="documents",
+                response_regional_sub_path=None,
+            ),
+        ]
+
+    def post_process(self, graph_builder: GraphBuilder, source: Json) -> None:
+        def collect_documents() -> None:
+            spec = GcpApiSpec(
+                service="firestore",
+                version="v1",
+                accessors=["projects", "databases", "documents"],
+                action="list",
+                request_parameter={"parent": f"{self.id}/documents"},
+                request_parameter_in=set(),
+                response_path="documents",
+                response_regional_sub_path=None,
+            )
+            with GcpErrorHandler(
+                spec.action,
+                graph_builder.error_accumulator,
+                spec.service,
+                graph_builder.region.safe_name if graph_builder.region else None,
+                set(),
+                f" in {graph_builder.project.id} kind {GcpFirestoreDocument.kind}",
+            ):
+                items = graph_builder.client.list(spec)
+                documents = GcpFirestoreDocument.collect(items, graph_builder)
+                for document in documents:
+                    graph_builder.add_edge(self, node=document)
+                log.info(f"[GCP:{graph_builder.project.id}] finished collecting: {GcpFirestoreDocument.kind}")
+
+        graph_builder.submit_work(collect_documents)
+
+
+@define(eq=False, slots=False)
+class GcpArrayValue:
+    kind: ClassVar[str] = "gcp_array_value"
+    mapping: ClassVar[Dict[str, Bender]] = {"values": S("values", default=[])}
+    values: Optional[List[Any]] = field(default=None)
+
+
+@define(eq=False, slots=False)
+class GcpLatLng:
+    kind: ClassVar[str] = "gcp_lat_lng"
+    mapping: ClassVar[Dict[str, Bender]] = {"latitude": S("latitude"), "longitude": S("longitude")}
+    latitude: Optional[float] = field(default=None)
+    longitude: Optional[float] = field(default=None)
+
+
+@define(eq=False, slots=False)
+class GcpMapValue:
+    kind: ClassVar[str] = "gcp_map_value"
+    mapping: ClassVar[Dict[str, Bender]] = {"fields": S("fields", default={})}
+    fields: Optional[Dict[str, Any]] = field(default=None)
+
+
+@define(eq=False, slots=False)
+class GcpValue:
+    kind: ClassVar[str] = "gcp_value"
+    mapping: ClassVar[Dict[str, Bender]] = {
+        "array_value": S("arrayValue", default={}) >> Bend(GcpArrayValue.mapping),
+        "boolean_value": S("booleanValue"),
+        "bytes_value": S("bytesValue"),
+        "double_value": S("doubleValue"),
+        "geo_point_value": S("geoPointValue", default={}) >> Bend(GcpLatLng.mapping),
+        "integer_value": S("integerValue"),
+        "map_value": S("mapValue", default={}) >> Bend(GcpMapValue.mapping),
+        "null_value": S("nullValue"),
+        "reference_value": S("referenceValue"),
+        "string_value": S("stringValue"),
+        "timestamp_value": S("timestampValue"),
+    }
+    array_value: Optional[GcpArrayValue] = field(default=None)
+    boolean_value: Optional[bool] = field(default=None)
+    bytes_value: Optional[str] = field(default=None)
+    double_value: Optional[float] = field(default=None)
+    geo_point_value: Optional[GcpLatLng] = field(default=None)
+    integer_value: Optional[str] = field(default=None)
+    map_value: Optional[GcpMapValue] = field(default=None)
+    null_value: Optional[str] = field(default=None)
+    reference_value: Optional[str] = field(default=None)
+    string_value: Optional[str] = field(default=None)
+    timestamp_value: Optional[datetime] = field(default=None)
+
+
+@define(eq=False, slots=False)
+class GcpFirestoreDocument(GcpResource):
+    kind: ClassVar[str] = "gcp_firestore_document"
+    _kind_display: ClassVar[str] = "GCP Firestore Document"
+    _kind_description: ClassVar[str] = (
+        "A Firestore Document in GCP, representing a single document in a Firestore database, which can contain fields and subcollections."
+    )
+    _kind_service: ClassVar[Optional[str]] = service_name
+    _metadata: ClassVar[Dict[str, Any]] = {"icon": "database", "group": "storage"}
+    # collected via GcpFirestoreDatabase()
+    mapping: ClassVar[Dict[str, Bender]] = {
+        "id": S("name").or_else(S("id")).or_else(S("selfLink")),
+        "tags": S("labels", default={}),
+        "name": S("name"),
+        "ctime": S("creationTimestamp"),
+        "description": S("description"),
+        "link": S("selfLink"),
+        "label_fingerprint": S("labelFingerprint"),
+        "deprecation_status": S("deprecated", default={}) >> Bend(GcpDeprecationStatus.mapping),
+        "create_time": S("createTime"),
+        "fields": S("fields", default={}) >> MapDict(value_bender=Bend(GcpValue.mapping)),
+        "update_time": S("updateTime"),
+    }
+    create_time: Optional[datetime] = field(default=None)
+    fields: Optional[Dict[str, GcpValue]] = field(default=None)
+    update_time: Optional[datetime] = field(default=None)
+
+
+@define(eq=False, slots=False)
+class GcpFirestoreStats:
+    kind: ClassVar[str] = "gcp_firestore_stats"
+    mapping: ClassVar[Dict[str, Bender]] = {
+        "document_count": S("documentCount"),
+        "index_count": S("indexCount"),
+        "size_bytes": S("sizeBytes"),
+    }
+    document_count: Optional[str] = field(default=None)
+    index_count: Optional[str] = field(default=None)
+    size_bytes: Optional[str] = field(default=None)
+
+
+@define(eq=False, slots=False)
+class GcpFirestoreBackup(GcpResource):
+    kind: ClassVar[str] = "gcp_firestore_backup"
+    _kind_display: ClassVar[str] = "GCP Firestore Backup"
+    _kind_description: ClassVar[str] = (
+        "A Firestore Backup in GCP, which provides a way to back up and restore Firestore databases to protect against data loss."
+    )
+    _kind_service: ClassVar[Optional[str]] = service_name
+    _metadata: ClassVar[Dict[str, Any]] = {"icon": "backup", "group": "storage"}
+    api_spec: ClassVar[GcpApiSpec] = GcpApiSpec(
+        service="firestore",
+        version="v1",
+        accessors=["projects", "locations", "backups"],
+        action="list",
+        request_parameter={"parent": "projects/{project}/locations/-"},
+        request_parameter_in={"project"},
+        response_path="backups",
+        response_regional_sub_path=None,
+    )
+    mapping: ClassVar[Dict[str, Bender]] = {
+        "id": S("name").or_else(S("id")).or_else(S("selfLink")),
+        "tags": S("labels", default={}),
+        "name": S("name"),
+        "ctime": S("creationTimestamp"),
+        "description": S("description"),
+        "link": S("selfLink"),
+        "label_fingerprint": S("labelFingerprint"),
+        "deprecation_status": S("deprecated", default={}) >> Bend(GcpDeprecationStatus.mapping),
+        "database_name": S("database"),
+        "database_uid": S("databaseUid"),
+        "expire_time": S("expireTime"),
+        "snapshot_time": S("snapshotTime"),
+        "state": S("state"),
+        "backup_stats": S("stats", default={}) >> Bend(GcpFirestoreStats.mapping),
+    }
+    database_name: Optional[str] = field(default=None)
+    database_uid: Optional[str] = field(default=None)
+    expire_time: Optional[datetime] = field(default=None)
+    snapshot_time: Optional[datetime] = field(default=None)
+    state: Optional[str] = field(default=None)
+    backup_stats: Optional[GcpFirestoreStats] = field(default=None)
+
+
+resources: List[Type[GcpResource]] = [GcpFirestoreDatabase, GcpFirestoreDocument, GcpFirestoreBackup]

plugins/gcp/test/aiplatform_test.py

@@ -0,0 +1,16 @@
+import json
+import os
+
+from fix_plugin_gcp.resources.base import GraphBuilder
+from fix_plugin_gcp.resources.aiplatform import resources
+
+
+def test_gcp_aiplatform_resources(random_builder: GraphBuilder) -> None:
+    file_path = os.path.join(os.path.dirname(__file__), "files", "aiplatform_resources.json")
+    with open(file_path, "r") as f:
+        data = json.load(f)
+
+    for resource, res_class in zip(data["resources"], resources):
+        res_class.collect(raw=[resource], builder=random_builder)
+        collected = random_builder.nodes(clazz=res_class)
+        assert len(collected) == 1