prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  [Bug] Using filter list with Jinja on metrics and metric input measures causes error when running `dbt parse`
  ### Is this a new bug in dbt-core?
  
  - [X] I believe this is a new bug in dbt-core
  - [X] I have searched the existing issues, and I could not find an existing issue for this bug
  
  ### Current Behavior
  
  When you define a metric or metric input measure with a filter list and include Jinja in the list, `dbt parse` triggers an error. Example YAML:
  ```
  metrics:
    - name: new_customer
      description: Unique count of new customers.
      label: New Customers
      type: simple
      type_params:
        measure: customers_with_orders
      filter:
        - "{{ Dimension('customer__customer_type') }}  = 'new'"
  ```
  Running `dbt parse` in a repo with that metric definition triggers this error:
  ```
  Compilation Error
    Could not render {{ Dimension('customer__customer_type') }}  = 'new': 'Dimension' is undefined
  ```
  Meanwhile, if you apply the same filter as a string (example below), no error will be triggered.
  ```
  metrics:
    - name: new_customer
      description: Unique count of new customers.
      label: New Customers
      type: simple
      type_params:
        measure: customers_with_orders
      filter: "{{ Dimension('customer__customer_type') }}  = 'new'"
  ```
  
  ### Expected Behavior
  
  Applying the filter in a list should have the same impact as applying it as a string. Currently this limitation will prevent users from using multiple filters on metrics and metric input measures.
  
  ### Steps To Reproduce
  
  1. Add a list-type filter on a metric or a metric input measure in a dbt project
  2. Run `dbt parse` in the repo
  
  ### Relevant log output
  
  ```shell
  Output when running dbt parse:
  
  21:05:56  Running with dbt=1.7.3
  21:05:56  Registered adapter: duckdb=1.7.0
  21:05:56  Encountered an error:
  Compilation Error
    Could not render {{ Dimension('customer__customer_type') }}  = 'new': 'Dimension' is undefined
  ```
  
  
  ### Environment
  
  ```markdown
  - OS: Mac OSX 13.4.1
  - Python: 3.9.16
  - dbt: 1.7.3
  ```
  
  
  ### Which database adapter are you using with dbt?
  
  other (mention it in "Additional Context")
  
  ### Additional Context
  
  DuckDB
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `core/dbt/parser/schema_renderer.py`
  Content:
  ```
  1 from typing import Dict, Any
  2 
  3 from dbt.config.renderer import BaseRenderer, Keypath
  4 
  5 
  6 # This class renders dictionaries derived from "schema" yaml files.
  7 # It calls Jinja on strings (in deep_map_render), except for certain
  8 # keys which are skipped because they need to be rendered later
  9 # (tests and description). Test configs are rendered in the
  10 # generic test builder code, but skips the keyword args. The test
  11 # keyword args are rendered to capture refs in render_test_update.
  12 # Keyword args are finally rendered at compilation time.
  13 # Descriptions are not rendered until 'process_docs'.
  14 class SchemaYamlRenderer(BaseRenderer):
  15     def __init__(self, context: Dict[str, Any], key: str) -> None:
  16         super().__init__(context)
  17         self.key = key
  18 
  19     @property
  20     def name(self):
  21         return "Rendering yaml"
  22 
  23     def _is_norender_key(self, keypath: Keypath) -> bool:
  24         """
  25         models:
  26             - name: blah
  27               description: blah
  28               data_tests: ...
  29               columns:
  30                 - name:
  31                   description: blah
  32                   data_tests: ...
  33 
  34         Return True if it's tests, data_tests or description - those aren't rendered now
  35         because they're rendered later in parse_generic_tests or process_docs.
  36         "tests" and "data_tests" are both currently supported but "tests" has been deprecated
  37         """
  38         # top level descriptions and data_tests
  39         if len(keypath) >= 1 and keypath[0] in ("tests", "data_tests", "description"):
  40             return True
  41 
  42         # columns descriptions and data_tests
  43         if len(keypath) == 2 and keypath[1] in ("tests", "data_tests", "description"):
  44             return True
  45 
  46         # versions
  47         if len(keypath) == 5 and keypath[4] == "description":
  48             return True
  49 
  50         if (
  51             len(keypath) >= 3
  52             and keypath[0] in ("columns", "dimensions", "measures", "entities")
  53             and keypath[2] in ("tests", "data_tests", "description")
  54         ):
  55             return True
  56 
  57         return False
  58 
  59     # don't render descriptions or test keyword arguments
  60     def should_render_keypath(self, keypath: Keypath) -> bool:
  61         if len(keypath) < 1:
  62             return True
  63 
  64         if self.key == "sources":
  65             if keypath[0] == "description":
  66                 return False
  67             if keypath[0] == "tables":
  68                 if self._is_norender_key(keypath[2:]):
  69                     return False
  70         elif self.key == "macros":
  71             if keypath[0] == "arguments":
  72                 if self._is_norender_key(keypath[1:]):
  73                     return False
  74             elif self._is_norender_key(keypath[0:]):
  75                 return False
  76         elif self.key == "metrics":
  77             # This ensures all key paths that end in 'filter' for a metric are skipped
  78             if keypath[-1] == "filter":
  79                 return False
  80             elif self._is_norender_key(keypath[0:]):
  81                 return False
  82         elif self.key == "saved_queries":
  83             if keypath[0] == "query_params" and len(keypath) > 1 and keypath[1] == "where":
  84                 return False
  85             elif self._is_norender_key(keypath[0:]):
  86                 return False
  87         else:  # models, seeds, snapshots, analyses
  88             if self._is_norender_key(keypath[0:]):
  89                 return False
  90         return True
  91
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/core/dbt/parser/schema_renderer.py b/core/dbt/parser/schema_renderer.py
  --- a/core/dbt/parser/schema_renderer.py
  +++ b/core/dbt/parser/schema_renderer.py
  @@ -74,12 +74,13 @@
               elif self._is_norender_key(keypath[0:]):
                   return False
           elif self.key == "metrics":
  -            # This ensures all key paths that end in 'filter' for a metric are skipped
  -            if keypath[-1] == "filter":
  +            # This ensures that metric filters are skipped
  +            if keypath[-1] == "filter" or len(keypath) > 1 and keypath[-2] == "filter":
                   return False
               elif self._is_norender_key(keypath[0:]):
                   return False
           elif self.key == "saved_queries":
  +            # This ensures that saved query filters are skipped
               if keypath[0] == "query_params" and len(keypath) > 1 and keypath[1] == "where":
                   return False
               elif self._is_norender_key(keypath[0:]):
  
verification_info: {"golden_diff": "diff --git a/core/dbt/parser/schema_renderer.py b/core/dbt/parser/schema_renderer.py\n--- a/core/dbt/parser/schema_renderer.py\n+++ b/core/dbt/parser/schema_renderer.py\n@@ -74,12 +74,13 @@\n             elif self._is_norender_key(keypath[0:]):\n                 return False\n         elif self.key == \"metrics\":\n-            # This ensures all key paths that end in 'filter' for a metric are skipped\n-            if keypath[-1] == \"filter\":\n+            # This ensures that metric filters are skipped\n+            if keypath[-1] == \"filter\" or len(keypath) > 1 and keypath[-2] == \"filter\":\n                 return False\n             elif self._is_norender_key(keypath[0:]):\n                 return False\n         elif self.key == \"saved_queries\":\n+            # This ensures that saved query filters are skipped\n             if keypath[0] == \"query_params\" and len(keypath) > 1 and keypath[1] == \"where\":\n                 return False\n             elif self._is_norender_key(keypath[0:]):\n", "issue": "[Bug] Using filter list with Jinja on metrics and metric input measures causes error when running `dbt parse`\n### Is this a new bug in dbt-core?\n\n- [X] I believe this is a new bug in dbt-core\n- [X] I have searched the existing issues, and I could not find an existing issue for this bug\n\n### Current Behavior\n\nWhen you define a metric or metric input measure with a filter list and include Jinja in the list, `dbt parse` triggers an error. Example YAML:\r\n```\r\nmetrics:\r\n  - name: new_customer\r\n    description: Unique count of new customers.\r\n    label: New Customers\r\n    type: simple\r\n    type_params:\r\n      measure: customers_with_orders\r\n    filter:\r\n      - \"{{ Dimension('customer__customer_type') }}  = 'new'\"\r\n```\r\nRunning `dbt parse` in a repo with that metric definition triggers this error:\r\n```\r\nCompilation Error\r\n  Could not render {{ Dimension('customer__customer_type') }}  = 'new': 'Dimension' is undefined\r\n```\r\nMeanwhile, if you apply the same filter as a string (example below), no error will be triggered.\r\n```\r\nmetrics:\r\n  - name: new_customer\r\n    description: Unique count of new customers.\r\n    label: New Customers\r\n    type: simple\r\n    type_params:\r\n      measure: customers_with_orders\r\n    filter: \"{{ Dimension('customer__customer_type') }}  = 'new'\"\r\n```\n\n### Expected Behavior\n\nApplying the filter in a list should have the same impact as applying it as a string. Currently this limitation will prevent users from using multiple filters on metrics and metric input measures.\n\n### Steps To Reproduce\n\n1. Add a list-type filter on a metric or a metric input measure in a dbt project\r\n2. Run `dbt parse` in the repo\n\n### Relevant log output\n\n```shell\nOutput when running dbt parse:\r\n\r\n21:05:56  Running with dbt=1.7.3\r\n21:05:56  Registered adapter: duckdb=1.7.0\r\n21:05:56  Encountered an error:\r\nCompilation Error\r\n  Could not render {{ Dimension('customer__customer_type') }}  = 'new': 'Dimension' is undefined\n```\n\n\n### Environment\n\n```markdown\n- OS: Mac OSX 13.4.1\r\n- Python: 3.9.16\r\n- dbt: 1.7.3\n```\n\n\n### Which database adapter are you using with dbt?\n\nother (mention it in \"Additional Context\")\n\n### Additional Context\n\nDuckDB\n", "before_files": [{"content": "from typing import Dict, Any\n\nfrom dbt.config.renderer import BaseRenderer, Keypath\n\n\n# This class renders dictionaries derived from \"schema\" yaml files.\n# It calls Jinja on strings (in deep_map_render), except for certain\n# keys which are skipped because they need to be rendered later\n# (tests and description). Test configs are rendered in the\n# generic test builder code, but skips the keyword args. The test\n# keyword args are rendered to capture refs in render_test_update.\n# Keyword args are finally rendered at compilation time.\n# Descriptions are not rendered until 'process_docs'.\nclass SchemaYamlRenderer(BaseRenderer):\n    def __init__(self, context: Dict[str, Any], key: str) -> None:\n        super().__init__(context)\n        self.key = key\n\n    @property\n    def name(self):\n        return \"Rendering yaml\"\n\n    def _is_norender_key(self, keypath: Keypath) -> bool:\n        \"\"\"\n        models:\n            - name: blah\n              description: blah\n              data_tests: ...\n              columns:\n                - name:\n                  description: blah\n                  data_tests: ...\n\n        Return True if it's tests, data_tests or description - those aren't rendered now\n        because they're rendered later in parse_generic_tests or process_docs.\n        \"tests\" and \"data_tests\" are both currently supported but \"tests\" has been deprecated\n        \"\"\"\n        # top level descriptions and data_tests\n        if len(keypath) >= 1 and keypath[0] in (\"tests\", \"data_tests\", \"description\"):\n            return True\n\n        # columns descriptions and data_tests\n        if len(keypath) == 2 and keypath[1] in (\"tests\", \"data_tests\", \"description\"):\n            return True\n\n        # versions\n        if len(keypath) == 5 and keypath[4] == \"description\":\n            return True\n\n        if (\n            len(keypath) >= 3\n            and keypath[0] in (\"columns\", \"dimensions\", \"measures\", \"entities\")\n            and keypath[2] in (\"tests\", \"data_tests\", \"description\")\n        ):\n            return True\n\n        return False\n\n    # don't render descriptions or test keyword arguments\n    def should_render_keypath(self, keypath: Keypath) -> bool:\n        if len(keypath) < 1:\n            return True\n\n        if self.key == \"sources\":\n            if keypath[0] == \"description\":\n                return False\n            if keypath[0] == \"tables\":\n                if self._is_norender_key(keypath[2:]):\n                    return False\n        elif self.key == \"macros\":\n            if keypath[0] == \"arguments\":\n                if self._is_norender_key(keypath[1:]):\n                    return False\n            elif self._is_norender_key(keypath[0:]):\n                return False\n        elif self.key == \"metrics\":\n            # This ensures all key paths that end in 'filter' for a metric are skipped\n            if keypath[-1] == \"filter\":\n                return False\n            elif self._is_norender_key(keypath[0:]):\n                return False\n        elif self.key == \"saved_queries\":\n            if keypath[0] == \"query_params\" and len(keypath) > 1 and keypath[1] == \"where\":\n                return False\n            elif self._is_norender_key(keypath[0:]):\n                return False\n        else:  # models, seeds, snapshots, analyses\n            if self._is_norender_key(keypath[0:]):\n                return False\n        return True\n", "path": "core/dbt/parser/schema_renderer.py"}], "after_files": [{"content": "from typing import Dict, Any\n\nfrom dbt.config.renderer import BaseRenderer, Keypath\n\n\n# This class renders dictionaries derived from \"schema\" yaml files.\n# It calls Jinja on strings (in deep_map_render), except for certain\n# keys which are skipped because they need to be rendered later\n# (tests and description). Test configs are rendered in the\n# generic test builder code, but skips the keyword args. The test\n# keyword args are rendered to capture refs in render_test_update.\n# Keyword args are finally rendered at compilation time.\n# Descriptions are not rendered until 'process_docs'.\nclass SchemaYamlRenderer(BaseRenderer):\n    def __init__(self, context: Dict[str, Any], key: str) -> None:\n        super().__init__(context)\n        self.key = key\n\n    @property\n    def name(self):\n        return \"Rendering yaml\"\n\n    def _is_norender_key(self, keypath: Keypath) -> bool:\n        \"\"\"\n        models:\n            - name: blah\n              description: blah\n              data_tests: ...\n              columns:\n                - name:\n                  description: blah\n                  data_tests: ...\n\n        Return True if it's tests, data_tests or description - those aren't rendered now\n        because they're rendered later in parse_generic_tests or process_docs.\n        \"tests\" and \"data_tests\" are both currently supported but \"tests\" has been deprecated\n        \"\"\"\n        # top level descriptions and data_tests\n        if len(keypath) >= 1 and keypath[0] in (\"tests\", \"data_tests\", \"description\"):\n            return True\n\n        # columns descriptions and data_tests\n        if len(keypath) == 2 and keypath[1] in (\"tests\", \"data_tests\", \"description\"):\n            return True\n\n        # versions\n        if len(keypath) == 5 and keypath[4] == \"description\":\n            return True\n\n        if (\n            len(keypath) >= 3\n            and keypath[0] in (\"columns\", \"dimensions\", \"measures\", \"entities\")\n            and keypath[2] in (\"tests\", \"data_tests\", \"description\")\n        ):\n            return True\n\n        return False\n\n    # don't render descriptions or test keyword arguments\n    def should_render_keypath(self, keypath: Keypath) -> bool:\n        if len(keypath) < 1:\n            return True\n\n        if self.key == \"sources\":\n            if keypath[0] == \"description\":\n                return False\n            if keypath[0] == \"tables\":\n                if self._is_norender_key(keypath[2:]):\n                    return False\n        elif self.key == \"macros\":\n            if keypath[0] == \"arguments\":\n                if self._is_norender_key(keypath[1:]):\n                    return False\n            elif self._is_norender_key(keypath[0:]):\n                return False\n        elif self.key == \"metrics\":\n            # This ensures that metric filters are skipped\n            if keypath[-1] == \"filter\" or len(keypath) > 1 and keypath[-2] == \"filter\":\n                return False\n            elif self._is_norender_key(keypath[0:]):\n                return False\n        elif self.key == \"saved_queries\":\n            # This ensures that saved query filters are skipped\n            if keypath[0] == \"query_params\" and len(keypath) > 1 and keypath[1] == \"where\":\n                return False\n            elif self._is_norender_key(keypath[0:]):\n                return False\n        else:  # models, seeds, snapshots, analyses\n            if self._is_norender_key(keypath[0:]):\n                return False\n        return True\n", "path": "core/dbt/parser/schema_renderer.py"}]}