fix more snippets and enable mypy typechecking on embedded snippets

docs/tools/check_embedded_snippets.py

@@ -18,8 +18,7 @@
 LINT_TEMPLATE = "./lint_setup/template.py"
 LINT_FILE = "./lint_setup/lint_me.py"
 
-ENABLE_MYPY = False
-
+ENABLE_MYPY = True
 
 @dataclass
 class Snippet:

docs/website/docs/dlt-ecosystem/verified-sources/chess.md

@@ -160,7 +160,7 @@ specified otherwise.
 @dlt.resource(write_disposition="append")
 def players_games(
     players: List[str], start_month: str = None, end_month: str = None
-) -> Iterator[Callable[[], List[TDataItem]]]:
+) -> Iterator[TDataItems]:
     # gets a list of already checked(loaded) archives.
     checked_archives = dlt.current.resource_state().setdefault("archives", [])
     yield {}  # return your retrieved data here

docs/website/docs/general-usage/resource.md

@@ -63,8 +63,7 @@ accepts following arguments:
     ...
 
   # the `table_schema` method gets table schema generated by a resource
-  # TODO: needs fixing
-  print(get_users().table_schema())
+  print(get_users().compute_table_schema())
   ```
 
 > 💡 You can pass dynamic hints which are functions that take the data item as input and return a
@@ -155,8 +154,7 @@ def repo_events() -> Iterator[TDataItems]:
 
 # the `table_schema` method gets table schema generated by a resource and takes optional
 # data item to evaluate dynamic hints
-# TODO: needs fixing
-print(repo_events().table_schema({"type": "WatchEvent", id:...}))
+print(repo_events().compute_table_schema({"type": "WatchEvent", id:...}))
 ```
 
 In more advanced cases, you can dispatch data to different tables directly in the code of the
@@ -285,7 +283,7 @@ def get_orders():
         yield o
 
 # users and orders will be iterated in parallel in two separate threads
-pipeline.run[(get_users(), get_orders()])
+pipeline.run([get_users(), get_orders()])
 ```
 
 Async generators are automatically extracted concurrently with other resources: