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<!-- This file was generated with the assistance of an AI coding tool. -->
# ifcedit
A CLI wrapper that exposes all 350+ `ifcopenshell.api` mutation functions as
shell commands. Functions are auto-discovered at runtime via introspection --
no hardcoded list to maintain.
## Installation
```bash
pip install ifcedit
```
Requires `ifcopenshell`.
## Usage
```
ifcedit <command> [options] [--format json|text]
```
Three subcommands: `list` to discover functions, `docs` to read their
documentation, and `run` to execute them.
## Subcommands
### list
Discover available API modules and their functions.
**List all modules:**
```bash
ifcedit list
```
```json
[
{
"module": "root",
"description": "Functions for creating project-level entities",
"functions": ["create_entity", "remove_product", "copy_class"],
"count": 3
},
{
"module": "spatial",
"description": "Functions for managing spatial relationships",
"functions": ["assign_container", "unassign_container"],
"count": 2
}
]
```
**List functions in a module:**
```bash
ifcedit list root
```
```json
[
{
"name": "create_entity",
"description": "Create an IFC entity with optional initial attributes",
"params": [
{"name": "ifc_class", "type": "str", "required": true},
{"name": "name", "type": "Optional[str]"}
]
}
]
```
### docs
Show full documentation for a specific function, including parameter
descriptions from docstrings and return type.
```bash
ifcedit docs root.create_entity
```
```json
{
"module": "root",
"function": "create_entity",
"description": "Create an IFC entity with optional initial attributes",
"long_description": "This function creates a new entity instance...",
"params": [
{
"name": "ifc_class",
"type": "str",
"required": true,
"description": "The IFC class name (e.g. 'IfcWall', 'IfcProject')"
},
{
"name": "name",
"type": "Optional[str]",
"description": "Optional name attribute"
}
],
"return_type": "ifcopenshell.entity_instance",
"return_description": "The newly created entity instance"
}
```
### run
Execute an API function against an IFC file. Parameters are passed as
`--key value` pairs after the function name.
```bash
ifcedit run model.ifc root.create_entity --ifc_class IfcWall --name "My Wall"
```
```json
{
"ok": true,
"result": {"id": 42, "type": "IfcWall", "name": "My Wall"}
}
```
**Options:**
- `-o, --output <path>` -- write to a different file instead of overwriting the input
- `--dry-run` -- validate parameters without executing or saving
```bash
# Save to a new file
ifcedit run model.ifc root.create_entity -o out.ifc --ifc_class IfcWall
# Validate without executing
ifcedit run model.ifc root.create_entity --dry-run --ifc_class IfcWall
```
Dry-run output shows the resolved parameters:
```json
{
"ok": true,
"dry_run": true,
"module": "root",
"function": "create_entity",
"args": {"ifc_class": "IfcWall", "name": "My Wall"}
}
```
## Parameter type coercion
CLI strings are automatically converted to the types expected by each API
function, using the function's type annotations:
| Type | CLI input | Python value |
|------|-----------|--------------|
| `str` | `"hello"` | `"hello"` |
| `int` | `"42"` or `"#42"` | `42` |
| `float` | `"3.14"` | `3.14` |
| `bool` | `"true"`, `"1"`, `"yes"` | `True` |
| `Optional[X]` | `"none"` | `None` |
| `entity_instance` | `"42"` or `"#42"` | resolved from model by step ID |
| `list[entity_instance]` | `"5,6,7"` or `"[5, 6, 7]"` | list of resolved entities |
| `dict` | `'{"key": "val"}'` | parsed JSON object |
| `Literal["A", "B"]` | `"A"` | validated against allowed values |
## Examples
```bash
# Create a project
ifcedit run model.ifc root.create_entity --ifc_class IfcProject --name "My Project"
# Assign an element to a storey
ifcedit run model.ifc spatial.assign_container --products 10 --relating_structure 4
# Assign multiple elements at once
ifcedit run model.ifc aggregate.assign_object --products "5,6,7" --relating_object 1
# Add a property set
ifcedit run model.ifc pset.add_pset --product 10 --name "Pset_WallCommon"
# Edit properties
ifcedit run model.ifc pset.edit_pset --pset 15 \
--properties '{"IsExternal": true, "FireRating": "2HR"}'
```
### foreach
Apply an API function to each element in a JSON array read from stdin.
`{field}` placeholders in argument values are substituted with fields from
each JSON object. The model is opened once and saved once regardless of how
many elements are processed.
```bash
ifcquery model.ifc select 'IfcWindow' | ifcedit foreach model.ifc root.remove_product --product '{id}'
```
```json
{"ok": true, "count": 36, "errors": []}
```
Placeholder tokens match the fields emitted by `ifcquery` — typically `{id}`,
`{type}`, and `{name}`:
```bash
ifcquery model.ifc select 'IfcDoor' | ifcedit foreach model.ifc attribute.edit_attributes \
--product '{id}' --attributes '{"Name": "Door"}'
```
**Options:**
- `-o, --output <path>` -- write to a different file instead of overwriting the input
**Output:**
- `count` -- number of elements successfully processed
- `errors` -- list of per-element failures, each with `index`, `item`, and `error`; processing continues past errors
```json
{
"ok": false,
"count": 34,
"errors": [
{"index": 2, "item": {"id": 55, "type": "IfcWindow", "name": "W03"}, "error": "Entity #55 not found in model"}
]
}
```
Exit code is 1 if any element failed.
### quantify
Run quantity take-off (QTO) on an IFC file, computing physical measurements
(volume, area, length, count, weight) and writing them back as
`IfcElementQuantity` property sets. Uses `ifc5d` rules.
**List available rules:**
```bash
ifcedit quantify list
```
```json
[
{"name": "IFC4QtoBaseQuantities"},
{"name": "IFC4X3QtoBaseQuantities"}
]
```
**Run QTO on a file:**
```bash
ifcedit quantify run model.ifc IFC4QtoBaseQuantities
ifcedit quantify run model.ifc IFC4QtoBaseQuantities --selector IfcWall
ifcedit quantify run model.ifc IFC4QtoBaseQuantities -o model_qto.ifc
```
```json
{"ok": true, "rule": "IFC4QtoBaseQuantities", "elements_quantified": 42}
```
Options:
- `--selector <query>` -- ifcopenshell selector to restrict elements (default: all `IfcElement`)
- `-o, --output <path>` -- write to a different file instead of overwriting the input
Note: `quantify run` writes geometry-based measurements and requires the
IfcOpenShell C++ geometry bindings for elements with computed quantities.
## Error handling
Errors are reported in the JSON response:
```json
{
"ok": false,
"error": "Entity #999 not found in model"
}
```
Exit code is 0 on success, 1 on error.
## Relationship to ifcquery
`ifcedit` and `ifcquery` are complementary tools:
- **ifcquery** reads and inspects IFC models (summary, tree, info, select, relations, clash, validate, schedule, cost, schema, contexts, materials, plot, render)
- **ifcedit** modifies IFC models by wrapping `ifcopenshell.api` functions, and runs QTO via `quantify`
A typical workflow: inspect with `ifcquery`, look up the right API function
with `ifcedit docs`, then apply changes with `ifcedit run`.
The two tools also compose directly in shell scripts. Use `ifcquery --format ids`
to feed a list of IDs into a `run` parameter, or pipe `ifcquery select` JSON
into `ifcedit foreach` to apply an operation to every matching element:
```bash
# Aggregate — pass all IDs as a list parameter
ifcedit run model.ifc spatial.unassign_container \
--products "$(ifcquery model.ifc --format ids select 'IfcWall')"
# Fan-out — one operation per element, model opened and saved once
ifcquery model.ifc select 'IfcWindow' | ifcedit foreach model.ifc root.remove_product --product '{id}'
```
## License
LGPLv3+ -- see the IfcOpenShell project license.