Merge pull request #35 from paterva/feat/local-mtz

Feature: mtz config generation for local transforms

README.md

@@ -5,6 +5,9 @@
 [![Sonatype Jake](https://github.com/paterva/maltego-trx/actions/workflows/sonatype-jack.yml/badge.svg)](https://github.com/paterva/maltego-trx/actions/workflows/sonatype-jack.yml)
 
 ## Release Notes
+
+__1.6.0__: Automatically generate am `.mtz` for your local transforms
+
 __1.5.2__: Add logging output for invalid / missing params in xml serialization
 
 __1.5.1__: Add ignored files to starter and use README for pypi
@@ -305,6 +308,36 @@ registry.write_settings_config()
 handle_run(__name__, sys.argv, application)
 ```
 
+### Generating an `.mtz` config with your local Transforms
+
+Since `maltego-trx>=1.6.0` you can generate an `.mtz` config file with your local transforms.
+
+If you're already using the `TransformRegistry`, just invoke the `write_local_config()` method.
+
+```python
+# project.py
+
+registry.write_local_mtz()
+```
+
+This will create a file called `local.mtz` in the current directory. You can then import this file into Maltego and
+start using your local transforms faster. Just remember that settings are not passed to local transforms.
+
+The method takes in the same arguments as the interface in the Maltego client.
+If you are using a `virtualenv` environment, you might want to change the `command` argument to use that.
+
+```bash
+# project.py
+
+registry.write_local_mtz(
+    mtz_path: str = "./local.mtz", # path to the local .mtz file
+    working_dir: str = ".",
+    command: str = "python3", # for a venv you might want to use `./venv/bin/python3`
+    params: str = "project.py",
+    debug: bool = True
+)
+```
+
 ## Legacy Transforms
 
 [Documentation](https://docs.maltego.com/support/solutions/articles/15000018299-porting-old-trx-transforms-to-the-latest-version)

maltego_trx/__init__.py

@@ -1 +1 @@
-VERSION = "1.5.2"
+VERSION = "1.6.0"

maltego_trx/decorator_registry.py

@@ -1,17 +1,41 @@
+import logging
 import os
+import zipfile
+from collections import defaultdict
 from dataclasses import dataclass, field
 from itertools import chain
-from typing import List, Optional, Dict, Iterable
+from typing import List, Optional, Dict, Iterable, Tuple
 
-from maltego_trx.utils import filter_unique, pascal_case_to_title, escape_csv_fields, export_as_csv, serialize_bool, \
-    name_to_path
+from maltego_trx.mtz import (
+    create_local_server_xml,
+    create_settings_xml,
+    create_transform_xml,
+    create_transform_set_xml,
+)
+from maltego_trx.utils import (
+    filter_unique,
+    pascal_case_to_title,
+    escape_csv_fields,
+    export_as_csv,
+    serialize_bool,
+    name_to_path,
+    serialize_xml,
+)
 
-TRANSFORMS_CSV_HEADER = "Owner,Author,Disclaimer,Description,Version," \
-                        "Name,UIName,URL,entityName," \
-                        "oAuthSettingId,transformSettingIDs,seedIDs"
+TRANSFORMS_CSV_HEADER = (
+    "Owner,Author,Disclaimer,Description,Version,"
+    "Name,UIName,URL,entityName,"
+    "oAuthSettingId,transformSettingIDs,seedIDs"
+)
 SETTINGS_CSV_HEADER = "Name,Type,Display,DefaultValue,Optional,Popup"
 
 
+@dataclass(frozen=True)
+class TransformSet:
+    name: str
+    description: str
+
+
 @dataclass()
 class TransformMeta:
     class_name: str
@@ -20,9 +44,10 @@ class TransformMeta:
     description: str
     output_entities: List[str]
     disclaimer: str
+    transform_set: TransformSet
 
 
-@dataclass()
+@dataclass(frozen=True)
 class TransformSetting:
     name: str
     display_name: str
@@ -49,87 +74,196 @@ class TransformRegistry:
     host_url: str
     seed_ids: List[str]
 
-    version: str = '0.1'
+    version: str = "0.1"
     display_name_suffix: str = ""
 
     global_settings: List[TransformSetting] = field(default_factory=list)
     oauth_settings_id: Optional[str] = ""
 
     transform_metas: Dict[str, TransformMeta] = field(init=False, default_factory=dict)
-    transform_settings: Dict[str, List[TransformSetting]] = field(init=False, default_factory=dict)
+    transform_settings: Dict[str, List[TransformSetting]] = field(
+        init=False, default_factory=dict
+    )
+    transform_sets: Dict[TransformSet, List[str]] = field(
+        init=False, default_factory=lambda: defaultdict(list)
+    )
 
-    def register_transform(self, display_name: str, input_entity: str, description: str,
-                           settings: List[TransformSetting] = None, output_entities: List[str] = None,
-                           disclaimer: str = ""):
-        """ This method can be used as a decorator on transform classes. The data will be used to fill out csv config
-            files to be imported into a TDS.
+    def register_transform(
+        self,
+        display_name: str,
+        input_entity: str,
+        description: str,
+        settings: List[TransformSetting] = None,
+        output_entities: List[str] = None,
+        disclaimer: str = "",
+        transform_set: TransformSet = None,
+    ):
+        """This method can be used as a decorator on transform classes. The data will be used to fill out csv config
+        files to be imported into a TDS.
         """
 
         def decorated(transform_callable: object):
             cleaned_transform_name = name_to_path(transform_callable.__name__)
             display = display_name or pascal_case_to_title(transform_callable.__name__)
 
-            meta = TransformMeta(cleaned_transform_name,
-                                 display, input_entity,
-                                 description,
-                                 output_entities or [],
-                                 disclaimer)
+            meta = TransformMeta(
+                cleaned_transform_name,
+                display,
+                input_entity,
+                description,
+                output_entities or [],
+                disclaimer,
+                transform_set=transform_set,
+            )
             self.transform_metas[cleaned_transform_name] = meta
 
             if settings:
                 self.transform_settings[cleaned_transform_name] = settings
 
+            if transform_set:
+                self.transform_sets[transform_set].append(cleaned_transform_name)
+
             return transform_callable
 
         return decorated
 
-    def write_transforms_config(self, config_path: str = "./transforms.csv", csv_line_limit: int = 100):
-        """Exports the collected transform metadata as a csv-file to config_path"""
+    def _create_transforms_config(self) -> Iterable[str]:
         global_settings_full_names = [gs.id for gs in self.global_settings]
 
-        csv_lines = []
         for transform_name, transform_meta in self.transform_metas.items():
-            meta_settings = [setting.id for setting in
-                             self.transform_settings.get(transform_name, [])]
+            meta_settings = [
+                setting.id
+                for setting in self.transform_settings.get(transform_name, [])
+            ]
 
             transform_row = [
-                    self.owner,
-                    self.author,
-                    transform_meta.disclaimer,
-                    transform_meta.description,
-                    self.version,
-                    transform_name,
-                    transform_meta.display_name + self.display_name_suffix,
-                    os.path.join(self.host_url, "run", transform_name),
-                    transform_meta.input_entity,
-                    ";".join(self.oauth_settings_id),
-                    # combine global and transform scoped settings
-                    ";".join(chain(meta_settings, global_settings_full_names)),
-                    ";".join(self.seed_ids)
+                self.owner,
+                self.author,
+                transform_meta.disclaimer,
+                transform_meta.description,
+                self.version,
+                transform_name,
+                transform_meta.display_name + self.display_name_suffix,
+                os.path.join(self.host_url, "run", transform_name),
+                transform_meta.input_entity,
+                ";".join(self.oauth_settings_id),
+                # combine global and transform scoped settings
+                ";".join(chain(meta_settings, global_settings_full_names)),
+                ";".join(self.seed_ids),
             ]
 
             escaped_fields = escape_csv_fields(*transform_row)
-            csv_lines.append(",".join(escaped_fields))
+            yield ",".join(escaped_fields)
+
+    def write_transforms_config(
+        self, config_path: str = "./transforms.csv", csv_line_limit: int = 100
+    ):
+        """Exports the collected transform metadata as a csv-file to config_path"""
 
-        export_as_csv(TRANSFORMS_CSV_HEADER, csv_lines, config_path, csv_line_limit)
+        csv_lines = self._create_transforms_config()
 
-    def write_settings_config(self, config_path: str = "./settings.csv", csv_line_limit: int = 100):
-        """Exports the collected settings metadata as a csv-file to config_path"""
-        chained_settings = chain(self.global_settings, *list(self.transform_settings.values()))
-        unique_settings: Iterable[TransformSetting] = filter_unique(lambda s: s.name, chained_settings)
+        export_as_csv(
+            TRANSFORMS_CSV_HEADER, tuple(csv_lines), config_path, csv_line_limit
+        )
+
+    def _create_settings_config(self) -> Iterable[str]:
+        chained_settings = chain(
+            self.global_settings, *list(self.transform_settings.values())
+        )
+        unique_settings: Iterable[TransformSetting] = filter_unique(
+            lambda s: s.name, chained_settings
+        )
 
-        csv_lines = []
         for setting in unique_settings:
             setting_row = [
-                    setting.id,
-                    setting.setting_type,
-                    setting.display_name,
-                    setting.default_value or "",
-                    serialize_bool(setting.optional, 'True', 'False'),
-                    serialize_bool(setting.popup, 'Yes', 'No')
+                setting.id,
+                setting.setting_type,
+                setting.display_name,
+                setting.default_value or "",
+                serialize_bool(setting.optional, "True", "False"),
+                serialize_bool(setting.popup, "Yes", "No"),
             ]
 
             escaped_fields = escape_csv_fields(*setting_row)
-            csv_lines.append(",".join(escaped_fields))
+            yield ",".join(escaped_fields)
+
+    def write_settings_config(
+        self, config_path: str = "./settings.csv", csv_line_limit: int = 100
+    ):
+        """Exports the collected settings metadata as a csv-file to config_path"""
+
+        csv_lines = self._create_settings_config()
+
+        export_as_csv(
+            SETTINGS_CSV_HEADER, tuple(csv_lines), config_path, csv_line_limit
+        )
+
+    def _create_local_mtz(
+        self,
+        working_dir: str = ".",
+        command: str = "python3",
+        params: str = "project.py",
+        debug: bool = True,
+    ) -> Iterable[Tuple[str, str]]:
+        working_dir = os.path.abspath(working_dir)
+        if self.global_settings:
+            logging.warning(
+                f"Settings are not supported with local transforms. "
+                f"Global settings are: {', '.join(map(lambda s: s.name, self.global_settings))}"
+            )
+
+        """Creates an .mtz for bulk importing local transforms"""
+        server_xml = create_local_server_xml(self.transform_metas.keys())
+
+        server_xml_str = serialize_xml(server_xml)
+        yield "Servers/Local.tas", server_xml_str
+
+        for name, meta in self.transform_metas.items():
+            settings_xml = create_settings_xml(
+                working_dir, command, f"{params} local {name}", debug
+            )
+            settings_xml_str = serialize_xml(settings_xml)
+
+            tx_settings = self.transform_settings.get(name)
+            if tx_settings:
+                logging.warning(
+                    "Settings are not supported with local transforms. "
+                    f"Transform '{meta.display_name}' has: {', '.join(map(lambda s: s.name, tx_settings))}"
+                )
+
+            xml = create_transform_xml(
+                name,
+                meta.display_name,
+                meta.description,
+                meta.input_entity,
+                self.author,
+            )
+
+            xml_str = serialize_xml(xml)
+
+            yield f"TransformRepositories/Local/{name}.transform", xml_str
+            yield f"TransformRepositories/Local/{name}.transformsettings", settings_xml_str
+
+        for transform_set, transforms in self.transform_sets.items():
+            set_xml = create_transform_set_xml(
+                transform_set.name, transform_set.description, transforms
+            )
+
+            set_xml_str = serialize_xml(set_xml)
+
+            yield f"TransformSets/{transform_set.name}.set", set_xml_str
+
+    def write_local_mtz(
+        self,
+        mtz_path: str = "./local.mtz",
+        working_dir: str = ".",
+        command: str = "python3",
+        params: str = "project.py",
+        debug: bool = True,
+    ):
 
-        export_as_csv(SETTINGS_CSV_HEADER, csv_lines, config_path, csv_line_limit)
+        with zipfile.ZipFile(mtz_path, "w") as mtz:
+            for path, content in self._create_local_mtz(
+                working_dir, command, params, debug
+            ):
+                mtz.writestr(path, content)