community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)

Moved the following modules to new package langchain-community in a backwards compatible fashion:

```
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
```

Moved the following to core
```
mv langchain/langchain/utils/json_schema.py core/langchain_core/utils
mv langchain/langchain/utils/html.py core/langchain_core/utils
mv langchain/langchain/utils/strings.py core/langchain_core/utils
cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py
rm langchain/langchain/utils/env.py
```

See .scripts/community_split/script_integrations.sh for all changes

libs/community/langchain_community/document_loaders/arcgis_loader.py

@@ -0,0 +1,154 @@
+"""Document Loader for ArcGIS FeatureLayers."""
+
+from __future__ import annotations
+
+import json
+import re
+import warnings
+from datetime import datetime, timezone
+from typing import TYPE_CHECKING, Any, Iterator, List, Optional, Union
+
+from langchain_core.documents import Document
+
+from langchain_community.document_loaders.base import BaseLoader
+
+if TYPE_CHECKING:
+    import arcgis
+
+_NOT_PROVIDED = "(Not Provided)"
+
+
+class ArcGISLoader(BaseLoader):
+    """Load records from an ArcGIS FeatureLayer."""
+
+    def __init__(
+        self,
+        layer: Union[str, arcgis.features.FeatureLayer],
+        gis: Optional[arcgis.gis.GIS] = None,
+        where: str = "1=1",
+        out_fields: Optional[Union[List[str], str]] = None,
+        return_geometry: bool = False,
+        result_record_count: Optional[int] = None,
+        lyr_desc: Optional[str] = None,
+        **kwargs: Any,
+    ):
+        try:
+            import arcgis
+        except ImportError as e:
+            raise ImportError(
+                "arcgis is required to use the ArcGIS Loader. "
+                "Install it with pip or conda."
+            ) from e
+
+        try:
+            from bs4 import BeautifulSoup  # type: ignore
+
+            self.BEAUTIFULSOUP = BeautifulSoup
+        except ImportError:
+            warnings.warn("BeautifulSoup not found. HTML will not be parsed.")
+            self.BEAUTIFULSOUP = None
+
+        self.gis = gis or arcgis.gis.GIS()
+
+        if isinstance(layer, str):
+            self.url = layer
+            self.layer = arcgis.features.FeatureLayer(layer, gis=gis)
+        else:
+            self.url = layer.url
+            self.layer = layer
+
+        self.layer_properties = self._get_layer_properties(lyr_desc)
+
+        self.where = where
+
+        if isinstance(out_fields, str):
+            self.out_fields = out_fields
+        elif out_fields is None:
+            self.out_fields = "*"
+        else:
+            self.out_fields = ",".join(out_fields)
+
+        self.return_geometry = return_geometry
+
+        self.result_record_count = result_record_count
+        self.return_all_records = not isinstance(result_record_count, int)
+
+        query_params = dict(
+            where=self.where,
+            out_fields=self.out_fields,
+            return_geometry=self.return_geometry,
+            return_all_records=self.return_all_records,
+            result_record_count=self.result_record_count,
+        )
+        query_params.update(kwargs)
+        self.query_params = query_params
+
+    def _get_layer_properties(self, lyr_desc: Optional[str] = None) -> dict:
+        """Get the layer properties from the FeatureLayer."""
+        import arcgis
+
+        layer_number_pattern = re.compile(r"/\d+$")
+        props = self.layer.properties
+
+        if lyr_desc is None:
+            # retrieve description from the FeatureLayer if not provided
+            try:
+                if self.BEAUTIFULSOUP:
+                    lyr_desc = self.BEAUTIFULSOUP(props["description"]).text
+                else:
+                    lyr_desc = props["description"]
+                lyr_desc = lyr_desc or _NOT_PROVIDED
+            except KeyError:
+                lyr_desc = _NOT_PROVIDED
+        try:
+            item_id = props["serviceItemId"]
+            item = self.gis.content.get(item_id) or arcgis.features.FeatureLayer(
+                re.sub(layer_number_pattern, "", self.url),
+            )
+            try:
+                raw_desc = item.description
+            except AttributeError:
+                raw_desc = item.properties.description
+            if self.BEAUTIFULSOUP:
+                item_desc = self.BEAUTIFULSOUP(raw_desc).text
+            else:
+                item_desc = raw_desc
+            item_desc = item_desc or _NOT_PROVIDED
+        except KeyError:
+            item_desc = _NOT_PROVIDED
+        return {
+            "layer_description": lyr_desc,
+            "item_description": item_desc,
+            "layer_properties": props,
+        }
+
+    def lazy_load(self) -> Iterator[Document]:
+        """Lazy load records from FeatureLayer."""
+        query_response = self.layer.query(**self.query_params)
+        features = (feature.as_dict for feature in query_response)
+        for feature in features:
+            attributes = feature["attributes"]
+            page_content = json.dumps(attributes)
+
+            metadata = {
+                "accessed": f"{datetime.now(timezone.utc).isoformat()}Z",
+                "name": self.layer_properties["layer_properties"]["name"],
+                "url": self.url,
+                "layer_description": self.layer_properties["layer_description"],
+                "item_description": self.layer_properties["item_description"],
+                "layer_properties": self.layer_properties["layer_properties"],
+            }
+
+            if self.return_geometry:
+                try:
+                    metadata["geometry"] = feature["geometry"]
+                except KeyError:
+                    warnings.warn(
+                        "Geometry could not be retrieved from the feature layer."
+                    )
+
+            yield Document(page_content=page_content, metadata=metadata)
+
+    def load(self) -> List[Document]:
+        """Load all records from FeatureLayer."""
+        return list(self.lazy_load())