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- Separate caching into its own visible step before processing - Add ChangeDetector class to compare YAML vs NetBox data - Detect new device types, property changes, and component differences - Add --update flag to apply modifications (add + modify, no delete) - Default mode: log changes but only create new device types - --only-new mode: skip caching/comparison for fastest processing - Add counters for properties_updated and components_updated
Record objects for choice fields (airflow, weight_unit, etc.) have a .value attribute but are not dicts. Use hasattr() instead of isinstance(dict).
YAML multiline strings often have trailing newlines that don't match NetBox values. Strip trailing whitespace before comparison to avoid false positives.
…yaml changed - for example conversion from interfaces to module-bays
WalkthroughAdds a YAML-to-NetBox change-detection subsystem and integrates it into the import CLI with new --update and --remove-components modes; implements component update/removal and caching in the NetBox API client; and updates CI, tooling, docs, and repo configuration. Changes
sequenceDiagram
participant YAML as "YAML Device Types"
participant CLI as "nb-dt-import (CLI)"
participant Detector as "ChangeDetector"
participant Cache as "Cached NetBox Data"
participant API as "NetBox API / DeviceTypes"
CLI->>Detector: detect_changes(device_types)
Detector->>Cache: read cached device-types & components
Detector-->>CLI: ChangeReport (new / modified / unchanged)
CLI->>API: create_device_types(..., update=True, change_report, remove_components)
API->>API: apply property updates
API->>API: update_components()
API->>API: remove_components() (if requested)
API-->>CLI: result counters and summary
Estimated code review effort🎯 5 (Critical) | ⏱️ ~120 minutes Poem
🚥 Pre-merge checks | ✅ 1 | ❌ 2❌ Failed checks (1 warning, 1 inconclusive)
✅ Passed checks (1 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing touches
🧪 Generate unit tests (beta)
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nb-dt-import.py (1)
153-166:⚠️ Potential issue | 🟡 MinorModule types lack update/change-detection support.
Device types get full change detection and update support, but module types (lines 162–166) still use the old
create_module_typespath with onlyonly_new. If a user runs--update, they might expect modules to be updated too. At minimum, document this limitation.
🤖 Fix all issues with AI agents
In @.envrc:
- Line 1: Update the top-line comment in .envrc that currently reads "direnv
configuration for itc-lab-tools" to reference the correct repository name
"Device-Type-Library-Import" (or remove the project name if you prefer a generic
comment); locate the string in the .envrc file and replace "itc-lab-tools" with
"Device-Type-Library-Import" so the comment accurately reflects this repository.
In `@change_detector.py`:
- Around line 161-208: Extract the repeated normalization logic into a single
helper (e.g., a private method _normalize_values) and call it from both
_compare_device_type_properties and _compare_component_properties; the helper
should accept (yaml_value, netbox_value), convert netbox choice objects by
reading .value, normalize empty string to None for both sides, rstrip trailing
whitespace for strings, and return the normalized pair so the comparison code
uses the returned values instead of duplicating the same normalization steps.
- Around line 327-367: The log_change_report method prints device names with
self.handle.verbose_log but prints removal warnings with self.handle.log, so
non-verbose users see a removal count with no device context; update
log_change_report (inside the loop over report.modified_device_types) to ensure
device identity is logged when there are removals — for example, detect if
removed (the list computed from dt.component_changes with
ChangeType.COMPONENT_REMOVED) and if removed is non-empty call
self.handle.log(f" ~ {dt.manufacturer_slug}/{dt.model}") (instead of
verbose_log) before emitting the removal warning, or alternatively include the
device name directly in the removal warning string; apply this around the
existing removed-handling block so non-verbose output includes the device type
name.
- Around line 369-383: The yaml_data parameter in get_update_data is unused;
remove it from the function signature (def get_update_data(self, dt_change:
DeviceTypeChange) -> Dict[str, Any]) and update all call sites to stop passing
yaml_data, or if you intend to keep it for future use, rename it to _yaml_data
and add a brief comment; make the change in the get_update_data method and any
callers that reference it so DeviceTypeChange handling and returned updates
remain unchanged.
- Around line 86-97: COMPONENT_TYPES currently contains both "power-ports" and
"power-port" mapping to the same cache "power_port_templates", which causes
_compare_components to treat one spelling as missing and mark existing
components as removed; fix this by merging the alias handling: update
COMPONENT_TYPES to only include one canonical key (e.g., "power-ports" ->
("power_port_templates", ...)) and modify _compare_components to normalize/alias
incoming yaml data by checking for the alternate key ("power-port") and merging
its list into the canonical "power-ports" list before looking up cache_name (or
skip processing the alias if the canonical key exists), so comparisons use the
combined YAML components and the single cache_name power_port_templates.
In `@nb-dt-import.py`:
- Around line 86-98: The mode is logged twice: once in the initial
argument-print block (using args.update / args.only_new with handle.log) and
again later before processing; remove the redundant initial mode messages so the
script only emits the definitive mode message just before processing. Keep the
vendor/slug logs (args.vendors / args.slugs) but delete the branch that logs
mode strings in the earlier block (the if args.update / elif args.only_new /
else handle.log calls) to avoid duplicate output and rely on the later
mode-printing logic.
- Around line 170-174: The counter key netbox.counter["updated"] is misleading
(it actually counts created ports); rename it to
netbox.counter["components_added"] (or netbox.counter["ports_created"]) and
update all references: change the initialization in the NetBox.counter dict,
replace all increments/uses of netbox.counter["updated"] in the port-creation
code paths (the functions that create device ports and module ports), and update
the logging in nb-dt-import.py (the handle.log line using
netbox.counter["updated"]) to read netbox.counter["components_added"] with the
same message; ensure no other code still references the old "updated" key.
In `@netbox_api.py`:
- Around line 519-544: The endpoint_map and cache_map dictionaries are
duplicated in update_components and remove_components; extract them into a
single class-level constant or shared helper (e.g.,
DeviceTypes.ENDPOINT_CACHE_MAP or a module-level ENDPOINT_CACHE_MAP) and have
both methods read from it; store each entry as a tuple (endpoint_attr_name,
cache_name) and in update_components/remove_components resolve the NetBox
endpoint via getattr(self.netbox.dcim, endpoint_attr_name) and use the
cache_name for cache lookups so additions/removals remain consistent and DRY.
- Line 504: The import of ChangeType is duplicated inside the functions
update_components and remove_components; move the line "from change_detector
import ChangeType" up to the module/class scope (near other top-level imports or
the class definition) and remove the two function-local imports so both
update_components and remove_components reference the single module-level
ChangeType symbol.
- Around line 239-272: Remove the now-redundant _update_device_type_if_changed
method and move its logic into create_device_types so you perform the
device-type lookup once and apply property_changes directly; specifically, after
finding the matching change in change_report.modified_device_types inside
create_device_types, build the updates dict from change.property_changes and
call netbox_dt.update(updates), increment the counter (properties_updated), and
call handle.verbose_log, wrapping the update call in the same
pynetbox.RequestError handling used here—this eliminates the duplicated search
for manufacturer_slug/model and the separate helper method.
- Around line 705-710: Several functions (create_interfaces,
create_power_outlets, create_front_ports, create_module_power_outlets,
create_module_front_ports) repeat the "check cached_components → if empty call
_get_filter_kwargs and use netbox.dcim.*.filter" pattern; extract a helper
(e.g., _get_cached_or_fetch) that accepts cache_name, parent_type (or
device_type), parent_id, and the endpoint proxy and returns either the cached
map or the filtered API result; have each creating function call this helper
instead of duplicating the logic and ensure the helper uses
self.cached_components lookup with cache_key=(parent_type, parent_id) and falls
back to calling endpoint.filter(**self._get_filter_kwargs(parent_id,
parent_type)) and returns the {str(item): item} mapping.
- Around line 673-681: The deletion loop currently wraps the whole for-loop in a
single try/except causing remaining items to be skipped and
self.counter.update({"components_removed": len(ids_to_delete)}) to overcount;
change to handle errors per item by moving the try/except inside the loop around
endpoint.delete(comp_id), incrementing a local success_count when a delete
succeeds, logging per-item failures using the existing except
pynetbox.RequestError as e branch (e.error) and after the loop call
self.counter.update({"components_removed": success_count}) and self.handle.log
to report the actual number removed for the comp_type.
- Around line 162-179: The code performs two linear scans of
change_report.modified_device_types: one inside _update_device_type_if_changed
and another right after to apply component changes; instead find the matching
dt_change once (scan change_report.modified_device_types to match manufacturer
slug and model) and pass that dt_change into _update_device_type_if_changed so
it can update properties and components without re-scanning; then call
device_types.update_components and device_types.remove_components (if
remove_components) using the found dt_change.component_changes and avoid
reassigning manufacturer_slug separately. Ensure references to
_update_device_type_if_changed, change_report.modified_device_types,
device_types.update_components, and device_types.remove_components are updated
to accept/consume the dt_change object.
In `@README.md`:
- Around line 79-81: Add language specifiers to the two fenced code blocks that
contain the example commands ("./nb-dt-import.py --update" and
"./nb-dt-import.py --update --remove-components") by changing the opening fence
from ``` to ```bash so markdownlint MD040 is satisfied and syntax highlighting
works for those command snippets.
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log_handler.py (1)
60-67: 🧹 Nitpick | 🔵 TrivialMutable default argument
created_ports: list = []is a classic Python footgun.Though not introduced in this PR, this default is shared across all calls. If any caller ever appends to it (or if the function mutated it), state would leak between invocations. Same issue on line 69. Consider switching to
Nonewith an internal guard.♻️ Suggested fix
- def log_device_ports_created(self, created_ports: list = [], port_type: str = "port"): + def log_device_ports_created(self, created_ports: list = None, port_type: str = "port"): + if created_ports is None: + created_ports = []netbox_api.py (1)
299-302:⚠️ Potential issue | 🟡 MinorAdd
"created"key to Counter initialization and include it in the final summary.The counter at line 302 uses
self.counter["created"]but the Counter initialization (lines 15–25) doesn't include this key. While Python auto-initializes missing keys to 0, this breaks the explicit initialization pattern used for all other keys. Additionally, the"created"counter is never reported in the final summary (lines 170–179 ofnb-dt-import.py), so module creation counts are silently discarded.
🤖 Fix all issues with AI agents
In @.pre-commit-config.yaml:
- Around line 10-12: The hook block currently lists id and name as "black" while
the entry runs "uv run ruff format"; update the hook's id and name to reflect
the actual tool (e.g., change "black" to "ruff" or "ruff-format") so the hook
identity matches the entry, and keep the entry "uv run ruff format" unchanged;
ensure any contributors are aware they may need to re-run pre-commit install if
their local hooks are cached.
In `@change_detector.py`:
- Around line 230-232: The loop over COMPONENT_TYPES assigns yaml_components =
yaml_data.get(yaml_key, []) but that returns None when the YAML key exists with
a null value; update the assignment in the loop that iterates COMPONENT_TYPES so
yaml_components is guaranteed to be an iterable (e.g., yaml_components =
yaml_data.get(yaml_key) or []) before the subsequent for comp in
yaml_components; this prevents the TypeError in the code handling components
(refer to COMPONENT_TYPES and the yaml_components variable in
change_detector.py).
In `@nb-dt-import.py`:
- Around line 49-60: Make the flags consistent: declare --update and --only-new
in a mutually exclusive group via argparse.add_mutually_exclusive_group so they
cannot be used together, and add explicit validation that --remove-components is
only allowed when --update is set (call parser.error(...) if --remove-components
is provided without --update, or log a clear warning before exiting). Ensure you
update the parser setup that creates these arguments (the parser.add_argument
calls for "--update", "--only-new", "--remove-components") and, if necessary,
move any variable/handle initialization so you can call parser.error() at
parse-time.
…wnlint - change_detector: fix power-port/power-ports alias duplication, extract _normalize_values helper, handle null YAML component lists, improve non-verbose logging for removed components, remove unused yaml_data param - netbox_api: inline _update_device_type_if_changed (single dt_change lookup), rename counter["updated"] to counter["components_added"], move ChangeType import to module level, extract ENDPOINT_CACHE_MAP and _get_cached_or_fetch to remove duplicated endpoint/cache maps, fix parent_type-unaware component dispatch, fix per-item error handling in component deletion loop - nb-dt-import: remove duplicate mode logging, make --update/--only-new mutually exclusive, validate --remove-components requires --update - Add markdownlint pre-commit hook with .markdownlint.json config, fix README.md lint violations
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nb-dt-import.py (1)
154-167: 🧹 Nitpick | 🔵 TrivialModule handling does not support
--updatemode.Line 166 passes
only_new=args.only_new, so when neither--only-newnor--updateis set,only_new=Falseand modules will attempt to re-create components for existing module types (though_create_genericdeduplicates). This is pre-existing behavior, but worth noting that--updatehas no effect on modules — the user might expect otherwise given the new update workflow for device types.Consider either adding a log note when
args.updateis set (e.g., "Module update not yet supported") or documenting this limitation.netbox_api.py (2)
280-290:⚠️ Potential issue | 🟠 MajorRoot cause:
self.counter["created"]should beself.counter["module_added"].Line 283 increments
"created"but this key is not initialized in the counter (line 17–27), andnb-dt-import.pyreportsnetbox.counter['module_added']. Module creation counts are silently lost.🐛 Proposed fix
module_type_res = self.netbox.dcim.module_types.create(curr_mt) - self.counter["created"] += 1 + self.counter["module_added"] += 1
877-899: 🧹 Nitpick | 🔵 TrivialModule power outlet
link_portssilently ignores missing power port references.Line 887–888: the
KeyErrorfor module power outlets is caught withpass, unlike the device-type variant (lines 714–738) which removes invalid outlets and logs the issue. This inconsistency means module power outlets with invalid references will be sent to the API and likely fail during_create_generic.Consider aligning error handling with the device-type version.
🤖 Fix all issues with AI agents
In @.pre-commit-config.yaml:
- Around line 14-16: Remove the trailing whitespace at the end of the entry
value for the ruff-format hook: update the string "entry: uv run ruff format "
(hook id "ruff-format") to "entry: uv run ruff format" so there is no trailing
space.
- Around line 2-5: Update the markdownlint-cli hook revision from rev: v0.43.0
to rev: v0.47.0 in the pre-commit hook block that references repo:
https://github.com/igorshubovych/markdownlint-cli and hook id: markdownlint so
the hook uses the latest v0.47.0 release with the improved warning/exit-code
behavior.
In `@nb-dt-import.py`:
- Around line 171-180: The module creation count is logged using
netbox.counter['module_added'] but create_module_types increments
self.counter['created'], so the metric is never reported; fix by making the keys
consistent—either change the increment in create_module_types to
self.counter['module_added'] or change the log to read
netbox.counter['created']; update the symbol references (create_module_types and
netbox.counter) accordingly so the counter key matches both where it's
incremented and where it's logged.
In `@netbox_api.py`:
- Around line 556-562: The batch update via endpoint.update(updates) can fail
atomically; change to per-item updates like remove_components does: iterate over
updates list and call endpoint.update(...) (or endpoint.update([single_item]) if
API requires list) for each component, increment
self.counter.update({"components_updated": 1}) only on successful update, call
self.handle.verbose_log for each success, and catch pynetbox.RequestError
per-item to self.handle.log the specific component error and continue processing
remaining items so one bad record doesn't roll back all updates.
- Around line 564-578: The loop uses comp_type (canonical names like
"power-ports") to look up YAML entries but yaml_data may contain only an alias
key (like "power-port"), so additions are skipped; modify the lookup to accept
either the canonical key or any alias: for each comp_type from
change_detector/ComponentChange, resolve the YAML key by checking yaml_data for
comp_type first, then check COMPONENT_ALIASES (or build a reverse map from
canonical->aliases) and use the first matching alias key present in yaml_data
before continuing; keep using ENDPOINT_CACHE_MAP, endpoint_attr, cache_name, and
endpoint as before once you have the correct yaml_components key.
In `@README.md`:
- Around line 44-46: Update the README text to use the correct spelling and
hyphenation: replace every instance of "Github" with "GitHub" (for example in
the sentence mentioning `netbox-community/devicetype-library`) and change "comma
separated" to "comma-separated" (occurrences around the phrase "comma separated"
noted in the file). Ensure all three reported occurrences (lines referencing
"Github" and the two "comma separated" instances) are updated consistently.
…r-item updates, README typos - netbox_api: change create_module_types to increment counter["module_added"] instead of counter["created"], remove unused module_port_added counter - netbox_api: resolve YAML alias keys (e.g. "power-port") when looking up components to add via COMPONENT_ALIASES reverse lookup - netbox_api: change batch endpoint.update to per-item updates so one failure doesn't skip remaining component updates - nb-dt-import: remove module_port_added log line (ports already counted in components_added) - README: fix "Github" -> "GitHub", "comma separated" -> "comma-separated" - pre-commit: bump markdownlint-cli to v0.47.0, trim trailing whitespace
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nb-dt-import.py (1)
154-167: 🧹 Nitpick | 🔵 TrivialModule types don't participate in update/change-detection flow.
When
--updateis used, device types get the full change-detection and update treatment, but module types are always processed withonly_new=args.only_new— meaning they are only created (never updated). This may be intentional as an incremental rollout, but there's no user-facing log message indicating that--updatedoesn't apply to modules.Consider logging a note when
args.updateis True, e.g.,"Module type updates are not yet supported — only creating new module types.", so users aren't confused about why module changes aren't applied.netbox_api.py (2)
890-912:⚠️ Potential issue | 🟠 MajorInconsistent error handling:
create_module_power_outletssilently swallowsKeyErrorfor unresolved power port references.The device-type counterpart
create_power_outlets(lines 727–752) now logs detailed errors, lists available power ports, and removes outlets with invalid references before creation. This module version still uses a barepassonKeyError(line 901), which means:
- An outlet with an invalid
power_portreference is created with the raw name string instead of an ID, likely causing an API error.- No log message tells the user what went wrong.
Consider aligning the error handling with the device-type version.
Proposed fix
def link_ports(items, pid): existing_pp = self._get_cached_or_fetch( "power_port_templates", pid, "module", self.netbox.dcim.power_port_templates ) + outlets_to_remove = [] for outlet in items: + if "power_port" not in outlet: + continue try: power_port = existing_pp[outlet["power_port"]] outlet["power_port"] = power_port.id except KeyError: - pass + available = list(existing_pp.keys()) if existing_pp else [] + ctx = f" (Context: {context})" if context else "" + self.handle.log( + f'Could not find Power Port "{outlet["power_port"]}" for Module Power Outlet ' + f'"{outlet.get("name", "Unknown")}". Available: {available}{ctx}' + ) + outlets_to_remove.append(outlet) + + for outlet in outlets_to_remove: + items.remove(outlet)
681-700: 🧹 Nitpick | 🔵 TrivialBridge interface updates still use batch
endpoint.update(to_update)— is this intentional?In
create_interfaces, the bridge-linking at line 696 still uses a single batchself.netbox.dcim.interface_templates.update(to_update)call. While the component update and removal flows were moved to per-item processing to prevent one failure from skipping the rest, this bridge update path retains the batch behavior.If a single bridge reference is invalid, the entire batch of bridge updates for that device type will fail. Consider whether this should also use per-item updates for consistency.
🤖 Fix all issues with AI agents
In `@netbox_api.py`:
- Around line 429-448: The method _get_cached_or_fetch currently treats an empty
cached dict as a miss and falls through to endpoint.filter(), causing
unnecessary API calls for component-less types; change the logic to first test
for the presence of cache_key in self.cached_components[cache_name] (not just
truthiness of the cached dict) and return that cached value (even if empty) when
present; only call endpoint.filter(...) when the cache does not contain
cache_key, and after fetching populate
self.cached_components[cache_name][cache_key] accordingly so subsequent calls
avoid the API.
In `@README.md`:
- Around line 10-12: Replace all incorrect usages of the product name "Netbox"
with the correct capitalization "NetBox" throughout the README (search for the
exact string "Netbox" in the changed lines referenced such as occurrences around
lines 12, 23, 45–51, 88, 97 and any other matches) so the official product name
is used consistently; update each instance of the literal "Netbox" to "NetBox"
in the text.
…zation - netbox_api: check cache_key presence (not truthiness) so empty cached dicts for component-less types don't trigger unnecessary API calls; populate cache after fetch so subsequent calls are served from cache - README: replace all "Netbox" with "NetBox" for correct product name
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netbox_api.py (2)
67-67:⚠️ Potential issue | 🟡 MinorInconsistent capitalization: "Netbox" → "NetBox" in log message.
The README was updated to use the correct "NetBox" spelling, but this log message still uses "Netbox".
Proposed fix
- self.handle.log(f"Netbox version {self.netbox.version} found. Using new filters.") + self.handle.log(f"NetBox version {self.netbox.version} found. Using new filters.")
891-913:⚠️ Potential issue | 🟠 MajorInconsistent error handling:
create_module_power_outletssilently swallowsKeyError.
create_power_outlets(lines 728–753) was refactored to log missing power-port references and prune invalid entries.create_module_power_outletsstill uses a bareexcept KeyError: pass(line 901–902), leaving unresolved string references in the outlet dict — which will likely cause an API error downstream when_create_generictries to create the outlet.Consider applying the same log-and-prune pattern here.
Proposed fix
def link_ports(items, pid): existing_pp = self._get_cached_or_fetch( "power_port_templates", pid, "module", self.netbox.dcim.power_port_templates ) + outlets_to_remove = [] for outlet in items: + if "power_port" not in outlet: + continue try: power_port = existing_pp[outlet["power_port"]] outlet["power_port"] = power_port.id except KeyError: - pass + available = list(existing_pp.keys()) if existing_pp else [] + ctx = f" (Context: {context})" if context else "" + self.handle.log( + f'Could not find Power Port "{outlet["power_port"]}" for Module Power Outlet ' + f'"{outlet.get("name", "Unknown")}". Available: {available}{ctx}' + ) + outlets_to_remove.append(outlet) + + for outlet in outlets_to_remove: + items.remove(outlet)
🤖 Fix all issues with AI agents
In `@netbox_api.py`:
- Around line 543-546: update_components and remove_components currently read
self.cached_components directly (cache_key = (parent_type, device_type_id);
existing = self.cached_components.get(cache_name, {}).get(cache_key, {})) which
silently no-ops if preload_all_components() wasn't called; change both methods
to call the helper _get_cached_or_fetch(cache_name, cache_key) (or at minimum
assert/guard that cache exists and raise descriptive error) so the code falls
back to fetching from the API when the cache is not populated; update references
in update_components and remove_components accordingly and ensure behavior
matches the existing _get_cached_or_fetch contract.
- Around line 520-531: Replace the manual dict-init-and-append pattern used when
grouping component_changes into changes_to_update and changes_to_add with
collections.defaultdict(list): import defaultdict alongside Counter, declare
changes_to_update = defaultdict(list) and changes_to_add = defaultdict(list),
then simply call changes_to_update[change.component_type].append(change) for
ChangeType.COMPONENT_CHANGED and
changes_to_add[change.component_type].append(change) for
ChangeType.COMPONENT_ADDED; keep the loop over component_changes and the
ChangeType checks (ChangeType.COMPONENT_CHANGED / ChangeType.COMPONENT_ADDED)
unchanged.
- Around line 653-658: The loop calling endpoint.delete currently passes a
single integer (comp_id) which is invalid for pynetbox.Endpoint.delete; change
the call so delete receives a list containing comp_id (i.e., pass a list of IDs)
or, if you already have the Record object for that ID, call the record's delete
method instead; update the error handling in the except block to continue using
self.handle.log for RequestError messages (reference: ids_to_delete, comp_id,
endpoint.delete, and the alternative record.delete).
In `@README.md`:
- Line 33: Update the sentence in README.md that currently reads "Finally, we
are able to execute the script and import some device templates!" to the more
concise phrasing "Finally, we can execute the script and import some device
templates!" — locate the exact sentence in the README and replace "we are able
to execute" with "we can execute" preserving punctuation and capitalization.
…nt.delete call - update_components/remove_components: replace direct cached_components lookup with _get_cached_or_fetch so uncached component types fall back to API fetch instead of silently returning empty dicts - remove_components: pass list to endpoint.delete([comp_id]) as required by pynetbox's Endpoint.delete API
str(record) returns pynetbox's display name which strips template
variables like {module}, causing rear port lookups to fail for names
like "Filter/{module}/Line" (displayed as "Line"). Use item.name
consistently in _get_cached_or_fetch and _create_generic fallback
paths to match preload_all_components which already uses item.name.
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netbox_api.py (3)
887-909:⚠️ Potential issue | 🟡 MinorModule power outlet
link_portssilently swallowsKeyError, unlike the device-type equivalent.The device-type
create_power_outlets(lines 724–749) logs the error, lists available ports, and removes the invalid outlet before creation. The module-type version here just doespass, leaving the unresolved string inoutlet["power_port"], which will likely cause an API error when_create_generictries to create it.🐛 Proposed fix — align with device-type error handling
for outlet in items: + if "power_port" not in outlet: + continue try: power_port = existing_pp[outlet["power_port"]] outlet["power_port"] = power_port.id except KeyError: - pass + available = list(existing_pp.keys()) if existing_pp else [] + ctx = f" (Context: {context})" if context else "" + self.handle.log( + f'Could not find Power Port "{outlet["power_port"]}" for Module Power Outlet ' + f'"{outlet.get("name", "Unknown")}". Available: {available}{ctx}' + ) + ports_to_remove.append(outlet) + + for outlet in ports_to_remove: + items.remove(outlet)
996-1027:⚠️ Potential issue | 🟠 MajorUnhandled HTTP errors in
upload_imageswill crash the import process.
response.raise_for_status()on line 1019 raisesrequests.HTTPErroron failure, and there's noexceptclause — onlyfinally. Since the caller (line 251) also lacks a try/except around this call, any image upload failure (e.g., 413 payload too large, 500 server error) will abort the entire device-type import loop.🐛 Proposed fix — catch HTTP errors gracefully
try: for field, path in images.items(): file_handles[field] = (os.path.basename(path), open(path, "rb")) response = requests.patch( url, headers=headers, files=file_handles, verify=(not self.ignore_ssl), timeout=60 ) response.raise_for_status() self.handle.log(f"Images {images} updated at {url}: {response.status_code}") self.counter["images"] += len(images) + except requests.RequestException as e: + self.handle.log(f"Error uploading images for device type {device_type}: {e}") finally: for _, (_, fh) in file_handles.items():
136-210: 🧹 Nitpick | 🔵 TrivialBroad
except KeyErrormay mask unrelated KeyErrors raised inside the update path.The
tryblock (lines 136–197) intentionally raisesKeyErrorat line 155 when a device type isn't found, but any accidentalKeyErrorfrom lines 139–194 (e.g., a malformeddevice_typedict missing"manufacturer") would also be caught, causing the code to attempt creating a device type that may already exist.Consider narrowing the scope — e.g., perform the lookup separately and check
dt is Noneinstead of relying on exception control flow.♻️ Sketch — replace exception-driven control flow
- try: - ... - if dt is None: - raise KeyError("Device type not found") - ... - continue - - except KeyError: - # Device type doesn't exist - create it + # Lookup existing device type + manufacturer_slug = device_type["manufacturer"]["slug"] + device_slug = device_type.get("slug", "") + dt = self.device_types.existing_device_types.get((manufacturer_slug, device_type["model"])) + if dt is None and device_slug: + dt = self.device_types.existing_device_types_by_slug.get((manufacturer_slug, device_slug)) + + if dt is not None: + # Existing device type — handle updates or skip + if only_new: + ... + continue + if update and change_report: + ... + self.handle.verbose_log(...) + continue + + # Device type doesn't exist — create it + try: + dt = self.netbox.dcim.device_types.create(device_type) + ...
🤖 Fix all issues with AI agents
In `@netbox_api.py`:
- Around line 429-449: The cache for (parent_type, parent_id) maintained in
self.cached_components can become stale after creating new components; update or
invalidate that cache from _create_generic after successful creations to prevent
returning outdated data from _get_cached_or_fetch. Specifically, in
_create_generic (the path that creates new items and already computes cache_key
and cache_name), either remove the entry
self.cached_components[cache_name].pop(cache_key, None) or refresh it by
re-fetching via the same endpoint/filter used in _get_cached_or_fetch and
merging the new records into self.cached_components[cache_name][cache_key];
ensure this runs only on successful creation and handles missing cache_name keys
safely.
…generic After creating new components, pop the cache entry for that (parent_type, parent_id) so subsequent _get_cached_or_fetch calls (e.g. link_rear_ports looking up just-created rear ports) re-fetch from the API instead of returning stale data.
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netbox_api.py (1)
893-898:⚠️ Potential issue | 🟠 MajorSilent
KeyErrorswallow in module power outlet linking — inconsistent with device-type version.
create_power_outlets(lines 724–749) now logs missing power port references, removes invalid outlets, and reports skipped items. The module-type counterpart here silentlypasses onKeyError, meaning an outlet referencing a non-existent power port will be created with the raw name string instead of an ID, likely causing an API error downstream (or silent data corruption).🐛 Proposed fix — align with device-type error handling
def link_ports(items, pid): existing_pp = self._get_cached_or_fetch( "power_port_templates", pid, "module", self.netbox.dcim.power_port_templates ) + outlets_to_remove = [] for outlet in items: + if "power_port" not in outlet: + continue try: power_port = existing_pp[outlet["power_port"]] outlet["power_port"] = power_port.id except KeyError: - pass + available = list(existing_pp.keys()) if existing_pp else [] + ctx = f" (Context: {context})" if context else "" + self.handle.log( + f'Could not find Power Port "{outlet["power_port"]}" for Module Power Outlet ' + f'"{outlet.get("name", "Unknown")}". Available: {available}{ctx}' + ) + outlets_to_remove.append(outlet) + + for outlet in outlets_to_remove: + items.remove(outlet)
🤖 Fix all issues with AI agents
In `@netbox_api.py`:
- Around line 647-658: remove_components is deleting NetBox components but does
not invalidate self.cached_components, leaving stale entries; after the deletion
loop (once success_count is applied) clear or update the relevant cache entry in
self.cached_components for the same comp_type/parent key that remove_components
uses (the same cache key pattern used by _create_generic) so subsequent
operations see fresh data; i.e., after updating components_removed and logging,
remove or refresh the matching entry in self.cached_components (use comp_type
and the parent identifier used in remove_components to locate the cache entry).
…re filtered Instead of fetching all 100K+ component templates globally, collect the IDs of existing device types matching the YAML being processed and use per-device-type API filters. Falls back to global preload when no vendor filter narrows the set. Split preload_all_components into _preload_global (existing behavior) and _preload_scoped (per-device-type fetch) selected by the new device_type_ids parameter.
…mponents Pop the cached entry for (parent_type, device_type_id) under the relevant cache_name after deleting components, matching the same invalidation pattern used in _create_generic.
…ent detection
_create_generic had its own cache lookup that returned {} when the
cache existed for an endpoint but the specific (parent_type, parent_id)
key was missing (e.g. module types after a device-scoped preload).
This caused it to skip the API fallback, treating all module components
as new and attempting to re-create them.
Replace with _get_cached_or_fetch which correctly falls back to the
API when the cache key is absent.
… specified - With --vendors: collect device type IDs for those vendors and use per-device-type API calls (fast for small vendor sets) - Without --vendors: use bulk .all() fetch (handles large instances) - Remove fragile relevant_dt_ids heuristic that incorrectly triggered scoped mode for nearly-all device types
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nb-dt-import.py (1)
160-173:⚠️ Potential issue | 🟡 MinorModules don't benefit from the new change-detection / update flow.
Module types are always created with
only_new=args.only_newand never pass throughChangeDetectoror the--update/--remove-componentslogic. If--updateis specified, device types get updated but module types silently don't. This asymmetry may confuse users who expect--updateto apply to modules as well.Consider either logging a note (e.g., "Module update not yet supported") when
args.updateis set, or documenting this limitation in the--updatehelp text.netbox_api.py (2)
154-197: 🧹 Nitpick | 🔵 TrivialControl flow uses
raise KeyErroras a goto — pre-existing but worth noting.Line 155 raises
KeyError("Device type not found")to jump to the creation path at line 199. This is a pre-existing pattern (not introduced by this PR), but using exceptions for expected control flow is an anti-pattern that makes the logic harder to follow. Not blocking, but worth refactoring in a follow-up.
357-386: 🧹 Nitpick | 🔵 TrivialScoped preload only covers
"device"parent type.
_preload_scoped(line 444) hardcodes("device", dt_id)as the cache key and uses_get_filter_kwargs(dt_id, "device"). If module-type update/removal support is added later, scoped preloading won't cover modules. Currently safe since modules don't go through the change-detection flow, but worth a comment for future maintainers.
🤖 Fix all issues with AI agents
In `@change_detector.py`:
- Around line 215-233: The current logic only creates PropertyChange when YAML
provides a non-None differing value, so removals (YAML absent/None vs existing
NetBox value) aren't flagged; update the compare loop in the device type
comparison (which mirrors _compare_component_properties) to also append a
PropertyChange when yaml_value is None and netbox_value is not None (i.e., treat
an explicit removal as new_value=None), ensuring you still call
self._normalize_values before comparing and preserve
PropertyChange(property_name=prop, old_value=netbox_value, new_value=None); if
this behavior was intentional, add a brief comment in both the device type and
_compare_component_properties blocks explaining why removals are ignored.
- Around line 269-281: The removal-detection is treating a missing YAML key the
same as an explicit empty list because yaml_components is set to [] when
yaml_data.get(yaml_key) is None; update the logic in the merge loop to first
detect whether the canonical yaml_key or any of its aliases are actually present
in yaml_data (e.g., compute a boolean like key_present = yaml_key in yaml_data
or any(alias in yaml_data for alias in aliases)) and only run the "for
existing_name in existing_components.keys(): ... COMPONENT_REMOVED" block when
key_present is True; reference yaml_components, existing_components, yaml_key
and yaml_data to locate and guard the removal check so absent keys are skipped.
In `@nb-dt-import.py`:
- Around line 106-158: The default non-update branch passes change_report into
netbox.create_device_types even though only_new=True means existing device types
are skipped and change_report is unused; update the call in the "Mode: Creating
new device types only" branch (the netbox.create_device_types invocation) to
omit the change_report argument (or pass change_report=None) so the function
signature reflects intent and avoids confusion; reference symbols:
change_report, netbox.create_device_types, only_new=True, args.update.
In `@netbox_api.py`:
- Around line 612-616: The code assumes yaml_data[yaml_key] is iterable but can
be None; update the extraction of yaml_components (the variable assigned from
yaml_data[yaml_key]) to default to an empty list when the key exists but has no
value (e.g., use yaml_data.get(yaml_key) or the "or []" pattern) so that
building new_component_names from changes and the list comprehension that
produces components_to_add (which references yaml_components, yaml_key, changes,
and new_component_names) will not raise a TypeError.
… fix null YAML values - Property comparison now flags removals (YAML None vs NetBox value) in both device type and component property comparisons - Component removal detection only runs when YAML explicitly defines the component type key (or alias), avoiding false removals for absent keys - Default mode no longer passes unused change_report to create_device_types - Guard yaml_data[yaml_key] with or [] to prevent TypeError on null values
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nb-dt-import.py (1)
158-171: 🧹 Nitpick | 🔵 TrivialModule types don't participate in the
--updateworkflow.
create_module_typesonly supportsonly_new— it doesn't acceptupdate,change_report, orremove_components. When--updateis active, device types are updated but module types silently skip updates. Consider logging a note when--updateis enabled but modules won't be updated, to avoid user confusion.netbox_api.py (2)
388-423: 🧹 Nitpick | 🔵 Trivial
_preload_globaldoesn't create cache entries for device types with zero components of a given type.Unlike
_preload_scoped(which pre-createscache[key] = {}at line 445),_preload_globalonly inserts entries for device types that actually have at least one component. For device types with zero components of a type,_get_cached_or_fetchwon't find a cache entry and will fall through to an API call—despite the global preload having already run.This is a performance concern (unnecessary API round-trips), not a correctness bug.
♻️ Proposed fix: pre-populate cache entries for all known device types
After the item iteration loop in
_preload_global, populate empty entries for device types that were seen but have no components of this type:self.cached_components[endpoint] = cache + # Ensure all known device types have a cache entry (even if empty) + # to prevent _get_cached_or_fetch from falling through to API + for (mfr_slug, _model), dt in self.existing_device_types.items(): + key = ("device", dt.id) + if key not in cache: + cache[key] = {} self.handle.verbose_log(f"Cached {count} {label}.")
1025-1056:⚠️ Potential issue | 🟠 MajorUnhandled HTTP errors in
upload_imagescan crash the import run.
response.raise_for_status()(line 1048) raisesrequests.HTTPErroron 4xx/5xx responses, which propagates uncaught up tocreate_device_types. A single image upload failure would abort processing all subsequent device types.🐛 Proposed fix: catch HTTP errors gracefully
try: for field, path in images.items(): file_handles[field] = (os.path.basename(path), open(path, "rb")) response = requests.patch( url, headers=headers, files=file_handles, verify=(not self.ignore_ssl), timeout=60 ) response.raise_for_status() self.handle.log(f"Images {images} updated at {url}: {response.status_code}") self.counter["images"] += len(images) + except requests.RequestException as e: + self.handle.log(f"Error uploading images for device type {device_type}: {e}") finally: for _, (_, fh) in file_handles.items():
🤖 Fix all issues with AI agents
In `@change_detector.py`:
- Around line 397-410: Remove the unused duplicate method get_update_data(self,
dt_change: DeviceTypeChange) from change_detector.py; the same behavior is
already implemented inline as updates = {pc.property_name: pc.new_value for pc
in dt_change.property_changes} (see netbox_api usage), so delete the entire
get_update_data method, search for any remaining references to get_update_data
and update them to use the inline comprehension or
DeviceTypeChange.property_changes directly, and run tests/linter to ensure no
imports or usages remain.
- Around line 215-235: The code currently treats omitted device-type properties
as removals (loop over DEVICE_TYPE_PROPERTIES using yaml_data.get(prop),
normalizing via _normalize_values and appending PropertyChange entries), which
can unintentionally clear optional NetBox fields; either (A) update the README
Update Mode section to explicitly state that absent properties in YAML will be
removed from NetBox when using --update (document behavior and recommend using a
new --update-properties flag if desired), or (B) change the comparison logic to
match component semantics by only comparing properties explicitly present in
YAML (replace yaml_data.get(prop) with a presence check like if prop not in
yaml_data: continue before normalization), or (C) implement a new CLI flag
(--update-properties) and gate the removal behavior on that flag so default
--update does not remove omitted properties; reference DEVICE_TYPE_PROPERTIES,
yaml_data, _normalize_values, PropertyChange, and the
--update/--remove-components behavior when making the change.
In `@netbox_api.py`:
- Around line 318-330: ENDPOINT_CACHE_MAP currently stores identical tuple
entries for each key (e.g., ("interface_templates", "interface_templates")),
which is redundant; update the definition for ENDPOINT_CACHE_MAP by either
refactoring uses to accept a single value instead of a tuple or (preferably for
minimal change) add a brief clarifying comment immediately above
ENDPOINT_CACHE_MAP stating that the two tuple elements are intentionally
identical today (endpoint attribute == cache name) but are kept separate to
allow divergence in future, and ensure any code that reads both elements (if
any) continues to work with the documented intention.
- Around line 534-589: The update_components method updates per-item via
endpoint.update but does not invalidate the cached Record objects returned by
_get_cached_or_fetch, causing stale values for later comparisons; after a
successful batch of updates (i.e., when success_count > 0, after the loop that
calls endpoint.update), invoke the same cache invalidation used by
_create_generic and remove_components to clear the cache entry for the current
cache_name/device_type_id/parent_type so subsequent reads fetch fresh data
(locate variables cache_name and device_type_id and the call site where
success_count is checked and add the cache-clearing call there).
…ethod, fix update cache - Only compare device-type and component properties explicitly present in YAML; omitted properties no longer treated as removals (caused 4500+ false positives) - Remove unused get_update_data method and its Dict import - Add clarifying comment to ENDPOINT_CACHE_MAP about intentionally identical tuples - Invalidate component cache after successful updates to prevent stale reads
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