We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Test `_archived_row` in sentry/replays/post_process.py to make sure that all requested fields are returned, no more KeyError
We saw this "KeyError" in the backend recently: https://sentry.sentry.io/issues/4326971348/?alert_rule_id=14460873&alert_type=issue&project=1&referrer=slack

> KeyError /api/0/organizations/{organization_slug}/replays/ 'count_dead_clicks'

The problem is that we are asking for more fields to be returned in the list query, but when a deleted row exists we call `_archived_row()` and return that object instead. That object doesn't really care about what fields the api client was asking for, therefore we got a key error.
We did a quick fix to update the server so it matches what we're asking for: https://github.com/getsentry/sentry/pull/53225/files

Updating `_archived_row` like this is hard to maintain. 
There already exists a `VALID_FIELD_SET` inside ReplayValidator.py. We could write a test to guarantee that `_archived_row` knows about all fields, if a new field is added _archived_row will be updated to match.

Alternatively, we could change the implementation of _archived_row so that it returns an object which implements the `__getitem__()` method, so it returns None for any field requested. Then we don't need to update `_archived_row` each time a new field is added to VALID_FIELD_SET
https://stackoverflow.com/questions/43627405/understanding-getitem-method-in-python

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `src/sentry/replays/post_process.py`
Content:
```
1 from __future__ import annotations
2 
3 import collections
4 from itertools import zip_longest
5 from typing import Any, Generator, Iterable, Iterator, MutableMapping
6 
7 
8 def process_raw_response(response: list[dict[str, Any]], fields: list[str]) -> list[dict[str, Any]]:
9     """Process the response further into the expected output."""
10     return list(generate_restricted_fieldset(fields, generate_normalized_output(response)))
11 
12 
13 def generate_restricted_fieldset(
14     fields: list[str] | None,
15     response: Generator[dict[str, Any], None, None],
16 ) -> Iterator[dict[str, Any]]:
17 
18     """Return only the fields requested by the client."""
19     if fields:
20         for item in response:
21             yield {field: item[field] for field in fields}
22     else:
23         yield from response
24 
25 
26 def _strip_dashes(field: str) -> str:
27     if field:
28         return field.replace("-", "")
29     return field
30 
31 
32 def generate_normalized_output(
33     response: list[dict[str, Any]]
34 ) -> Generator[dict[str, Any], None, None]:
35     """For each payload in the response strip "agg_" prefixes."""
36     for item in response:
37         if item["isArchived"]:
38             yield _archived_row(item["replay_id"], item["project_id"])
39             continue
40 
41         item["id"] = _strip_dashes(item.pop("replay_id", None))
42         item["project_id"] = str(item["project_id"])
43         item["trace_ids"] = item.pop("traceIds", [])
44         item["error_ids"] = item.pop("errorIds", [])
45         item["environment"] = item.pop("agg_environment", None)
46         item["tags"] = dict_unique_list(
47             zip(
48                 item.pop("tk", None) or [],
49                 item.pop("tv", None) or [],
50             )
51         )
52         item["user"] = {
53             "id": item.pop("user_id", None),
54             "username": item.pop("user_username", None),
55             "email": item.pop("user_email", None),
56             "ip": item.pop("user_ip", None),
57         }
58         item["user"]["display_name"] = (
59             item["user"]["username"]
60             or item["user"]["email"]
61             or item["user"]["id"]
62             or item["user"]["ip"]
63         )
64         item["sdk"] = {
65             "name": item.pop("sdk_name", None),
66             "version": item.pop("sdk_version", None),
67         }
68         item["os"] = {
69             "name": item.pop("os_name", None),
70             "version": item.pop("os_version", None),
71         }
72         item["browser"] = {
73             "name": item.pop("browser_name", None),
74             "version": item.pop("browser_version", None),
75         }
76         item["device"] = {
77             "name": item.pop("device_name", None),
78             "brand": item.pop("device_brand", None),
79             "model": item.pop("device_model", None),
80             "family": item.pop("device_family", None),
81         }
82 
83         item.pop("agg_urls", None)
84         item["urls"] = item.pop("urls_sorted", None)
85 
86         item["is_archived"] = bool(item.pop("isArchived", 0))
87 
88         item.pop("clickClass", None)
89         item.pop("click_selector", None)
90         # don't need clickClass or click_selector
91         #  for the click field, as they are only used for searching.
92         # (click.classes contains the full list of classes for a click)
93         item["clicks"] = extract_click_fields(item)
94 
95         yield item
96 
97 
98 def generate_sorted_urls(url_groups: list[tuple[int, list[str]]]) -> Iterator[str]:
99     """Return a flat list of ordered urls."""
100     for _, url_group in sorted(url_groups, key=lambda item: item[0]):
101         yield from url_group
102 
103 
104 def dict_unique_list(items: Iterable[tuple[str, str]]) -> dict[str, list[str]]:
105     """Populate a dictionary with the first key, value pair seen.
106 
107     There is a potential for duplicate keys to exist in the result set.  When we filter these keys
108     in Clickhouse we will filter by the first value so we ignore subsequent updates to the key.
109     This function ensures what is displayed matches what was filtered.
110     """
111     unique = collections.defaultdict(set)
112     for key, value in items:
113         unique[key].add(value)
114 
115     return {key: list(value_set) for key, value_set in unique.items()}
116 
117 
118 def _archived_row(replay_id: str, project_id: int) -> dict[str, Any]:
119     return {
120         "id": _strip_dashes(replay_id),
121         "project_id": str(project_id),
122         "trace_ids": [],
123         "error_ids": [],
124         "environment": None,
125         "tags": [],
126         "user": {"id": "Archived Replay", "display_name": "Archived Replay"},
127         "sdk": {"name": None, "version": None},
128         "os": {"name": None, "version": None},
129         "browser": {"name": None, "version": None},
130         "device": {"name": None, "brand": None, "model": None, "family": None},
131         "urls": None,
132         "activity": None,
133         "count_dead_clicks": None,
134         "count_rage_clicks": None,
135         "count_errors": None,
136         "duration": None,
137         "finished_at": None,
138         "started_at": None,
139         "is_archived": True,
140     }
141 
142 
143 CLICK_FIELD_MAP = {
144     "click_alt": "click.alt",
145     "click_aria_label": "click.label",
146     "click_classes": "click.classes",
147     "click_id": "click.id",
148     "click_role": "click.role",
149     "click_tag": "click.tag",
150     "click_testid": "click.testid",
151     "click_text": "click.text",
152     "click_title": "click.title",
153 }
154 
155 
156 def extract_click_fields(item: MutableMapping[str, Any]) -> list[dict[str, Any]]:
157     """
158     pops all of the click fields from the item and returns a list of the individual clicks as objects
159     """
160     click_dict = {}
161     for click_field in CLICK_FIELD_MAP.keys():
162         click_val = item.pop(click_field, [])
163         # if there is at least one one element, the list will be filled empty strings for the non-click segments
164         # so if there is at least one value, return a list of the truthy values.
165         # if not, return a list with a single None value
166         # also map the clickhouse field values to their query names
167         if click_val:
168             click_dict[CLICK_FIELD_MAP[click_field]] = [element for element in click_val if element]
169         else:
170             click_dict[CLICK_FIELD_MAP[click_field]] = click_val
171 
172     list_of_dicts = [dict(zip(click_dict.keys(), row)) for row in zip_longest(*click_dict.values())]
173     return list_of_dicts
174
```
--- 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()

```

diff --git a/src/sentry/replays/post_process.py b/src/sentry/replays/post_process.py
--- a/src/sentry/replays/post_process.py
+++ b/src/sentry/replays/post_process.py
@@ -4,6 +4,8 @@
 from itertools import zip_longest
 from typing import Any, Generator, Iterable, Iterator, MutableMapping
 
+from sentry.replays.validators import VALID_FIELD_SET
+
 
 def process_raw_response(response: list[dict[str, Any]], fields: list[str]) -> list[dict[str, Any]]:
     """Process the response further into the expected output."""
@@ -116,7 +118,7 @@
 
 
 def _archived_row(replay_id: str, project_id: int) -> dict[str, Any]:
-    return {
+    archived_replay_response = {
         "id": _strip_dashes(replay_id),
         "project_id": str(project_id),
         "trace_ids": [],
@@ -137,7 +139,18 @@
         "finished_at": None,
         "started_at": None,
         "is_archived": True,
+        "count_segments": None,
+        "count_urls": None,
+        "dist": None,
+        "platform": None,
+        "releases": None,
+        "clicks": None,
     }
+    for field in VALID_FIELD_SET:
+        if field not in archived_replay_response:
+            archived_replay_response[field] = None
+
+    return archived_replay_response
 
 
 CLICK_FIELD_MAP = {

{"golden_diff": "diff --git a/src/sentry/replays/post_process.py b/src/sentry/replays/post_process.py\n--- a/src/sentry/replays/post_process.py\n+++ b/src/sentry/replays/post_process.py\n@@ -4,6 +4,8 @@\n from itertools import zip_longest\n from typing import Any, Generator, Iterable, Iterator, MutableMapping\n \n+from sentry.replays.validators import VALID_FIELD_SET\n+\n \n def process_raw_response(response: list[dict[str, Any]], fields: list[str]) -> list[dict[str, Any]]:\n     \"\"\"Process the response further into the expected output.\"\"\"\n@@ -116,7 +118,7 @@\n \n \n def _archived_row(replay_id: str, project_id: int) -> dict[str, Any]:\n-    return {\n+    archived_replay_response = {\n         \"id\": _strip_dashes(replay_id),\n         \"project_id\": str(project_id),\n         \"trace_ids\": [],\n@@ -137,7 +139,18 @@\n         \"finished_at\": None,\n         \"started_at\": None,\n         \"is_archived\": True,\n+        \"count_segments\": None,\n+        \"count_urls\": None,\n+        \"dist\": None,\n+        \"platform\": None,\n+        \"releases\": None,\n+        \"clicks\": None,\n     }\n+    for field in VALID_FIELD_SET:\n+        if field not in archived_replay_response:\n+            archived_replay_response[field] = None\n+\n+    return archived_replay_response\n \n \n CLICK_FIELD_MAP = {\n", "issue": "Test `_archived_row` in sentry/replays/post_process.py to make sure that all requested fields are returned, no more KeyError\nWe saw this \"KeyError\" in the backend recently: https://sentry.sentry.io/issues/4326971348/?alert_rule_id=14460873&alert_type=issue&project=1&referrer=slack\r\n\r\n> KeyError /api/0/organizations/{organization_slug}/replays/ 'count_dead_clicks'\r\n\r\nThe problem is that we are asking for more fields to be returned in the list query, but when a deleted row exists we call `_archived_row()` and return that object instead. That object doesn't really care about what fields the api client was asking for, therefore we got a key error.\r\nWe did a quick fix to update the server so it matches what we're asking for: https://github.com/getsentry/sentry/pull/53225/files\r\n\r\nUpdating `_archived_row` like this is hard to maintain. \r\nThere already exists a `VALID_FIELD_SET` inside ReplayValidator.py. We could write a test to guarantee that `_archived_row` knows about all fields, if a new field is added _archived_row will be updated to match.\r\n\r\nAlternatively, we could change the implementation of _archived_row so that it returns an object which implements the `__getitem__()` method, so it returns None for any field requested. Then we don't need to update `_archived_row` each time a new field is added to VALID_FIELD_SET\r\nhttps://stackoverflow.com/questions/43627405/understanding-getitem-method-in-python\n", "before_files": [{"content": "from __future__ import annotations\n\nimport collections\nfrom itertools import zip_longest\nfrom typing import Any, Generator, Iterable, Iterator, MutableMapping\n\n\ndef process_raw_response(response: list[dict[str, Any]], fields: list[str]) -> list[dict[str, Any]]:\n    \"\"\"Process the response further into the expected output.\"\"\"\n    return list(generate_restricted_fieldset(fields, generate_normalized_output(response)))\n\n\ndef generate_restricted_fieldset(\n    fields: list[str] | None,\n    response: Generator[dict[str, Any], None, None],\n) -> Iterator[dict[str, Any]]:\n\n    \"\"\"Return only the fields requested by the client.\"\"\"\n    if fields:\n        for item in response:\n            yield {field: item[field] for field in fields}\n    else:\n        yield from response\n\n\ndef _strip_dashes(field: str) -> str:\n    if field:\n        return field.replace(\"-\", \"\")\n    return field\n\n\ndef generate_normalized_output(\n    response: list[dict[str, Any]]\n) -> Generator[dict[str, Any], None, None]:\n    \"\"\"For each payload in the response strip \"agg_\" prefixes.\"\"\"\n    for item in response:\n        if item[\"isArchived\"]:\n            yield _archived_row(item[\"replay_id\"], item[\"project_id\"])\n            continue\n\n        item[\"id\"] = _strip_dashes(item.pop(\"replay_id\", None))\n        item[\"project_id\"] = str(item[\"project_id\"])\n        item[\"trace_ids\"] = item.pop(\"traceIds\", [])\n        item[\"error_ids\"] = item.pop(\"errorIds\", [])\n        item[\"environment\"] = item.pop(\"agg_environment\", None)\n        item[\"tags\"] = dict_unique_list(\n            zip(\n                item.pop(\"tk\", None) or [],\n                item.pop(\"tv\", None) or [],\n            )\n        )\n        item[\"user\"] = {\n            \"id\": item.pop(\"user_id\", None),\n            \"username\": item.pop(\"user_username\", None),\n            \"email\": item.pop(\"user_email\", None),\n            \"ip\": item.pop(\"user_ip\", None),\n        }\n        item[\"user\"][\"display_name\"] = (\n            item[\"user\"][\"username\"]\n            or item[\"user\"][\"email\"]\n            or item[\"user\"][\"id\"]\n            or item[\"user\"][\"ip\"]\n        )\n        item[\"sdk\"] = {\n            \"name\": item.pop(\"sdk_name\", None),\n            \"version\": item.pop(\"sdk_version\", None),\n        }\n        item[\"os\"] = {\n            \"name\": item.pop(\"os_name\", None),\n            \"version\": item.pop(\"os_version\", None),\n        }\n        item[\"browser\"] = {\n            \"name\": item.pop(\"browser_name\", None),\n            \"version\": item.pop(\"browser_version\", None),\n        }\n        item[\"device\"] = {\n            \"name\": item.pop(\"device_name\", None),\n            \"brand\": item.pop(\"device_brand\", None),\n            \"model\": item.pop(\"device_model\", None),\n            \"family\": item.pop(\"device_family\", None),\n        }\n\n        item.pop(\"agg_urls\", None)\n        item[\"urls\"] = item.pop(\"urls_sorted\", None)\n\n        item[\"is_archived\"] = bool(item.pop(\"isArchived\", 0))\n\n        item.pop(\"clickClass\", None)\n        item.pop(\"click_selector\", None)\n        # don't need clickClass or click_selector\n        #  for the click field, as they are only used for searching.\n        # (click.classes contains the full list of classes for a click)\n        item[\"clicks\"] = extract_click_fields(item)\n\n        yield item\n\n\ndef generate_sorted_urls(url_groups: list[tuple[int, list[str]]]) -> Iterator[str]:\n    \"\"\"Return a flat list of ordered urls.\"\"\"\n    for _, url_group in sorted(url_groups, key=lambda item: item[0]):\n        yield from url_group\n\n\ndef dict_unique_list(items: Iterable[tuple[str, str]]) -> dict[str, list[str]]:\n    \"\"\"Populate a dictionary with the first key, value pair seen.\n\n    There is a potential for duplicate keys to exist in the result set.  When we filter these keys\n    in Clickhouse we will filter by the first value so we ignore subsequent updates to the key.\n    This function ensures what is displayed matches what was filtered.\n    \"\"\"\n    unique = collections.defaultdict(set)\n    for key, value in items:\n        unique[key].add(value)\n\n    return {key: list(value_set) for key, value_set in unique.items()}\n\n\ndef _archived_row(replay_id: str, project_id: int) -> dict[str, Any]:\n    return {\n        \"id\": _strip_dashes(replay_id),\n        \"project_id\": str(project_id),\n        \"trace_ids\": [],\n        \"error_ids\": [],\n        \"environment\": None,\n        \"tags\": [],\n        \"user\": {\"id\": \"Archived Replay\", \"display_name\": \"Archived Replay\"},\n        \"sdk\": {\"name\": None, \"version\": None},\n        \"os\": {\"name\": None, \"version\": None},\n        \"browser\": {\"name\": None, \"version\": None},\n        \"device\": {\"name\": None, \"brand\": None, \"model\": None, \"family\": None},\n        \"urls\": None,\n        \"activity\": None,\n        \"count_dead_clicks\": None,\n        \"count_rage_clicks\": None,\n        \"count_errors\": None,\n        \"duration\": None,\n        \"finished_at\": None,\n        \"started_at\": None,\n        \"is_archived\": True,\n    }\n\n\nCLICK_FIELD_MAP = {\n    \"click_alt\": \"click.alt\",\n    \"click_aria_label\": \"click.label\",\n    \"click_classes\": \"click.classes\",\n    \"click_id\": \"click.id\",\n    \"click_role\": \"click.role\",\n    \"click_tag\": \"click.tag\",\n    \"click_testid\": \"click.testid\",\n    \"click_text\": \"click.text\",\n    \"click_title\": \"click.title\",\n}\n\n\ndef extract_click_fields(item: MutableMapping[str, Any]) -> list[dict[str, Any]]:\n    \"\"\"\n    pops all of the click fields from the item and returns a list of the individual clicks as objects\n    \"\"\"\n    click_dict = {}\n    for click_field in CLICK_FIELD_MAP.keys():\n        click_val = item.pop(click_field, [])\n        # if there is at least one one element, the list will be filled empty strings for the non-click segments\n        # so if there is at least one value, return a list of the truthy values.\n        # if not, return a list with a single None value\n        # also map the clickhouse field values to their query names\n        if click_val:\n            click_dict[CLICK_FIELD_MAP[click_field]] = [element for element in click_val if element]\n        else:\n            click_dict[CLICK_FIELD_MAP[click_field]] = click_val\n\n    list_of_dicts = [dict(zip(click_dict.keys(), row)) for row in zip_longest(*click_dict.values())]\n    return list_of_dicts\n", "path": "src/sentry/replays/post_process.py"}], "after_files": [{"content": "from __future__ import annotations\n\nimport collections\nfrom itertools import zip_longest\nfrom typing import Any, Generator, Iterable, Iterator, MutableMapping\n\nfrom sentry.replays.validators import VALID_FIELD_SET\n\n\ndef process_raw_response(response: list[dict[str, Any]], fields: list[str]) -> list[dict[str, Any]]:\n    \"\"\"Process the response further into the expected output.\"\"\"\n    return list(generate_restricted_fieldset(fields, generate_normalized_output(response)))\n\n\ndef generate_restricted_fieldset(\n    fields: list[str] | None,\n    response: Generator[dict[str, Any], None, None],\n) -> Iterator[dict[str, Any]]:\n\n    \"\"\"Return only the fields requested by the client.\"\"\"\n    if fields:\n        for item in response:\n            yield {field: item[field] for field in fields}\n    else:\n        yield from response\n\n\ndef _strip_dashes(field: str) -> str:\n    if field:\n        return field.replace(\"-\", \"\")\n    return field\n\n\ndef generate_normalized_output(\n    response: list[dict[str, Any]]\n) -> Generator[dict[str, Any], None, None]:\n    \"\"\"For each payload in the response strip \"agg_\" prefixes.\"\"\"\n    for item in response:\n        if item[\"isArchived\"]:\n            yield _archived_row(item[\"replay_id\"], item[\"project_id\"])\n            continue\n\n        item[\"id\"] = _strip_dashes(item.pop(\"replay_id\", None))\n        item[\"project_id\"] = str(item[\"project_id\"])\n        item[\"trace_ids\"] = item.pop(\"traceIds\", [])\n        item[\"error_ids\"] = item.pop(\"errorIds\", [])\n        item[\"environment\"] = item.pop(\"agg_environment\", None)\n        item[\"tags\"] = dict_unique_list(\n            zip(\n                item.pop(\"tk\", None) or [],\n                item.pop(\"tv\", None) or [],\n            )\n        )\n        item[\"user\"] = {\n            \"id\": item.pop(\"user_id\", None),\n            \"username\": item.pop(\"user_username\", None),\n            \"email\": item.pop(\"user_email\", None),\n            \"ip\": item.pop(\"user_ip\", None),\n        }\n        item[\"user\"][\"display_name\"] = (\n            item[\"user\"][\"username\"]\n            or item[\"user\"][\"email\"]\n            or item[\"user\"][\"id\"]\n            or item[\"user\"][\"ip\"]\n        )\n        item[\"sdk\"] = {\n            \"name\": item.pop(\"sdk_name\", None),\n            \"version\": item.pop(\"sdk_version\", None),\n        }\n        item[\"os\"] = {\n            \"name\": item.pop(\"os_name\", None),\n            \"version\": item.pop(\"os_version\", None),\n        }\n        item[\"browser\"] = {\n            \"name\": item.pop(\"browser_name\", None),\n            \"version\": item.pop(\"browser_version\", None),\n        }\n        item[\"device\"] = {\n            \"name\": item.pop(\"device_name\", None),\n            \"brand\": item.pop(\"device_brand\", None),\n            \"model\": item.pop(\"device_model\", None),\n            \"family\": item.pop(\"device_family\", None),\n        }\n\n        item.pop(\"agg_urls\", None)\n        item[\"urls\"] = item.pop(\"urls_sorted\", None)\n\n        item[\"is_archived\"] = bool(item.pop(\"isArchived\", 0))\n\n        item.pop(\"clickClass\", None)\n        item.pop(\"click_selector\", None)\n        # don't need clickClass or click_selector\n        #  for the click field, as they are only used for searching.\n        # (click.classes contains the full list of classes for a click)\n        item[\"clicks\"] = extract_click_fields(item)\n\n        yield item\n\n\ndef generate_sorted_urls(url_groups: list[tuple[int, list[str]]]) -> Iterator[str]:\n    \"\"\"Return a flat list of ordered urls.\"\"\"\n    for _, url_group in sorted(url_groups, key=lambda item: item[0]):\n        yield from url_group\n\n\ndef dict_unique_list(items: Iterable[tuple[str, str]]) -> dict[str, list[str]]:\n    \"\"\"Populate a dictionary with the first key, value pair seen.\n\n    There is a potential for duplicate keys to exist in the result set.  When we filter these keys\n    in Clickhouse we will filter by the first value so we ignore subsequent updates to the key.\n    This function ensures what is displayed matches what was filtered.\n    \"\"\"\n    unique = collections.defaultdict(set)\n    for key, value in items:\n        unique[key].add(value)\n\n    return {key: list(value_set) for key, value_set in unique.items()}\n\n\ndef _archived_row(replay_id: str, project_id: int) -> dict[str, Any]:\n    archived_replay_response = {\n        \"id\": _strip_dashes(replay_id),\n        \"project_id\": str(project_id),\n        \"trace_ids\": [],\n        \"error_ids\": [],\n        \"environment\": None,\n        \"tags\": [],\n        \"user\": {\"id\": \"Archived Replay\", \"display_name\": \"Archived Replay\"},\n        \"sdk\": {\"name\": None, \"version\": None},\n        \"os\": {\"name\": None, \"version\": None},\n        \"browser\": {\"name\": None, \"version\": None},\n        \"device\": {\"name\": None, \"brand\": None, \"model\": None, \"family\": None},\n        \"urls\": None,\n        \"activity\": None,\n        \"count_dead_clicks\": None,\n        \"count_rage_clicks\": None,\n        \"count_errors\": None,\n        \"duration\": None,\n        \"finished_at\": None,\n        \"started_at\": None,\n        \"is_archived\": True,\n        \"count_segments\": None,\n        \"count_urls\": None,\n        \"dist\": None,\n        \"platform\": None,\n        \"releases\": None,\n        \"clicks\": None,\n    }\n    for field in VALID_FIELD_SET:\n        if field not in archived_replay_response:\n            archived_replay_response[field] = None\n\n    return archived_replay_response\n\n\nCLICK_FIELD_MAP = {\n    \"click_alt\": \"click.alt\",\n    \"click_aria_label\": \"click.label\",\n    \"click_classes\": \"click.classes\",\n    \"click_id\": \"click.id\",\n    \"click_role\": \"click.role\",\n    \"click_tag\": \"click.tag\",\n    \"click_testid\": \"click.testid\",\n    \"click_text\": \"click.text\",\n    \"click_title\": \"click.title\",\n}\n\n\ndef extract_click_fields(item: MutableMapping[str, Any]) -> list[dict[str, Any]]:\n    \"\"\"\n    pops all of the click fields from the item and returns a list of the individual clicks as objects\n    \"\"\"\n    click_dict = {}\n    for click_field in CLICK_FIELD_MAP.keys():\n        click_val = item.pop(click_field, [])\n        # if there is at least one one element, the list will be filled empty strings for the non-click segments\n        # so if there is at least one value, return a list of the truthy values.\n        # if not, return a list with a single None value\n        # also map the clickhouse field values to their query names\n        if click_val:\n            click_dict[CLICK_FIELD_MAP[click_field]] = [element for element in click_val if element]\n        else:\n            click_dict[CLICK_FIELD_MAP[click_field]] = click_val\n\n    list_of_dicts = [dict(zip(click_dict.keys(), row)) for row in zip_longest(*click_dict.values())]\n    return list_of_dicts\n", "path": "src/sentry/replays/post_process.py"}]}