microsoft/dataverse-skills

dv-solution

Dataverse solution lifecycle — create, export, import, promote across environments, and validate deployments.

Voir la source

Mode d’emploi

  1. Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
  2. Consultez le document original pour les outils, identifiants et environnements requis.
  3. Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/microsoft/dataverse-skills --skill dv-solution

Avant de commencer

  • L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
  • Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Document Skill original

Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.

Skill: Solution

Create, export, unpack, pack, import, and validate Dataverse solutions via PAC CLI. Includes post-import validation using the Python SDK.

Headless / restricted-egress hosts: use the raw Web API (ExportSolution / ImportSolution) for the online steps. pac solution pack/unpack are local file operations (no auth) but need a host that can run PAC -- do them on a capable machine or CI runner. Verify egress with python scripts/auth.py --check. See dv-connect/references/headless-hosts.md.

Skill boundaries

NeedUse instead
Create tables, columns, relationships, forms, viewsdv-metadata
Create, update, or delete data recordsdv-data
Query or read recordsdv-query
Connect to Dataverse / set up MCPdv-connect

Create a New Solution

Use the Python SDK for publisher and solution record creation — not raw HTTP. Publishers and solutions are standard Dataverse tables. client.records.create() and client.records.list() handle auth, pagination, and error handling automatically, avoiding the URL encoding, header boilerplate, and GUID-parsing bugs that raw urllib calls introduce.

Step 1: Find or Create the Publisher

Every solution belongs to a publisher. The publisher's customizationprefix (e.g., contoso, sa, lit) is prepended to every custom table, column, and relationship schema name. This prefix is effectively permanent — existing components keep their prefix forever, even if you change the publisher later.

Never use the default `new` prefix. It provides no organizational identity, risks naming collisions, and signals the developer did not follow best practices.

Discovery flow — always run this before creating a publisher:

python
import os, sys
sys.path.insert(0, os.path.join(os.getcwd(), "scripts"))
from auth import get_client

# get_client sets a plugin attribution context on the User-Agent header.
# Do not modify the context value — it is a closed schema for server-side
# telemetry (app/skill/agent). Never include secrets or PII.
client = get_client("dv-solution")

# 1. Query for existing non-Microsoft publishers
publishers = client.records.list(
    "publisher",
    filter="customizationprefix ne 'none' and uniquename ne 'MicrosoftCorporation' and uniquename ne 'Microsoftdynamic'",
    select=["publisherid", "uniquename", "friendlyname", "customizationprefix"],
    top=10,
)

if publishers:
    # Show existing publishers and ask user which to use
    print("Existing publishers in this environment:")
    for p in publishers:
        print(f"  {p['uniquename']} (prefix: {p['customizationprefix']}_)")
    # ASK THE USER: "Which publisher should this solution use?"
    # Or: "Should I reuse '<name>' (prefix: <prefix>_)?"
    publisher_id = publishers[0]["publisherid"]  # after user confirms
else:
    # No custom publisher exists — ASK THE USER for prefix
    # "What publisher prefix should I use? (e.g., 'contoso', 'sa', 'lit' — 2-8 lowercase chars)"
    publisher_id = client.records.create("publisher", {
        "uniquename": "<publisheruniquename>",
        "friendlyname": "<Publisher Display Name>",
        "customizationprefix": "<prefix>",   # from user input, NOT 'new'
        "description": "<description>",
    })

Rules:

  • Always ask the user before creating a new publisher or choosing a prefix. Never hardcode a prefix.
  • The prefix must match any tables already created in the solution — you cannot mix prefixes.
  • One publisher can own many solutions. Reuse an existing publisher when possible.

Step 2: Create the Solution Record

Use the SDK to create the solution record (preferred over raw Web API):

python
import os, sys
sys.path.insert(0, os.path.join(os.getcwd(), "scripts"))
from auth import get_client

# get_client sets a plugin attribution context on the User-Agent header.
# Do not modify the context value — it is a closed schema for server-side
# telemetry (app/skill/agent). Never include secrets or PII.
client = get_client("dv-solution")

# Create the solution record
solution_id = client.records.create("solution", {
    "uniquename": "<UniqueName>",
    "friendlyname": "<Display Name>",
    "version": "1.0.0.0",
    "publisherid@odata.bind": "/publishers(<publisher_guid>)",
})
print(f"Created solution: {solution_id}")

The required fields:

Table:  solution
Fields: uniquename    = "<UniqueName>"
        friendlyname  = "<Display Name>"
        version       = "1.0.0.0"
        publisherid   = <publisher GUID from step 1>
Note: There is no pac solution create command. PAC CLI handles export/import/pack/unpack, not solution record creation. Use the SDK or Web API to create the record.

Step 3: Add Components

Use pac solution add-solution-component to add tables, forms, views, and other components:

pac solution add-solution-component \
  --solutionUniqueName <UniqueName> \
  --component <ComponentSchemaName> \
  --componentType <TypeCode> \
  --environment <url>
Note: PAC CLI uses camelCase args here (--solutionUniqueName, --componentType), not kebab-case.

Common component type codes:

Type CodeComponent
1Entity (Table)
2Attribute (Column)
26View
60Form
61Web Resource
300Canvas App
371Connector

Repeat the command for each component you need to add.

Alternative: Auto-add via MSCRM.SolutionName Header

When creating metadata via the Web API, include the MSCRM.SolutionName header to auto-add components to the solution:

python
headers = {
    "Authorization": f"Bearer {token}",
    "Content-Type": "application/json",
    "MSCRM.SolutionName": "<UniqueName>"
}

Important: After using this approach, verify components were added by querying the solutioncomponent table with the SDK (pac solution list-components is not available in current PAC):

python
sol = client.records.list("solution",
    filter="uniquename eq '<UniqueName>'", select=["solutionid"], top=1).first()
if sol is not None:
    components = client.records.list("solutioncomponent",
        filter=f"_solutionid_value eq {sol['solutionid']}",
        select=["componenttype", "objectid"])
    print(f"{len(components)} components in the solution")

If the header was misspelled or the solution doesn't exist, components will be created in the default solution instead — silently. Always verify.

Find the Solution Name

Before exporting, confirm the exact unique name:

pac solution list --environment <url>

The UniqueName column is what you pass to other commands. Display names have spaces; unique names do not.

Pull: Export + Unpack

Confirm the target environment before exporting or importing. Run pac auth list + pac org who, show the output to the user, and confirm it matches the intended environment. Developers work across multiple environments — do not assume.

Export the solution as unmanaged (source of truth):

pac solution export \
  --name <UniqueName> \
  --path ./solutions/<UniqueName>.zip \
  --managed false \
  --environment <url>

Unpack into editable source files:

pac solution unpack \
  --zipfile ./solutions/<UniqueName>.zip \
  --folder ./solutions/<UniqueName> \
  --packagetype Unmanaged
Windows file-lock race. Run export and unpack as separate commands (as above); chaining them immediately can hit a transient ZIP file-lock right after export. If unpack fails with a lock / "in use" error, retry after a moment, and verify the unpacked folder has the expected components before deleting the zip.

Delete the zip — the unpacked folder is the source:

rm ./solutions/<UniqueName>.zip

Commit:

git add ./solutions/<UniqueName>
git commit -m "chore: pull <UniqueName> baseline"
git push

Push: Pack + Import

Pack the source files back into a zip:

pac solution pack \
  --zipfile ./solutions/<UniqueName>.zip \
  --folder ./solutions/<UniqueName> \
  --packagetype Unmanaged

Import (async recommended for large solutions):

pac solution import \
  --path ./solutions/<UniqueName>.zip \
  --environment <url> \
  --async \
  --activate-plugins

Poll Import Status

After async import, check the job:

pac solution list --environment <url>

Post-Import Validation

After importing a solution, verify that components are live. Use the Python SDK to check directly — no external scripts needed.

Check a table exists

python
info = client.tables.get("<logical_name>")
if info:
    print(f"[PASS] Table '{info.logical_name}' exists")
else:
    print(f"[FAIL] Table '<logical_name>' not found")

Check a form is published

python
forms = client.records.list(
    "systemform",
    filter="objecttypecode eq '<entity>' and type eq <form_type_code>",
    select=["name", "formid"],
    top=5,
)
# Form type codes: 2 = main, 7 = quick create

Check a view exists

python
views = client.records.list(
    "savedquery",
    filter="returnedtypecode eq '<entity>'",
    select=["name", "savedqueryid", "statuscode"],
    top=10,
)

Check a user's role assignment (N:N $expand)

records.list passes $expand straight through, so read the N:N navigation property directly with the SDK:

python
users = list(client.records.list(
    "systemuser",
    filter="internalemailaddress eq '<email>'",   # fallback: domainname eq '<upn>'
    select=["fullname"],
    expand=["systemuserroles_association($select=name)"],
    top=1,
))
roles = [r["name"] for r in users[0].get("systemuserroles_association", [])] if users else []

Alternatively, the managed Dataverse CLI escape hatch (dataverse api request — not urllib), or FetchXML with a link-entity:

bash
dataverse api request --target dataverse --method GET \
  --path "/api/data/v9.2/systemusers?%24filter=internalemailaddress eq '<email>'&%24select=fullname&%24expand=systemuserroles_association(%24select=name)&%24top=1" \
  --environment <DATAVERSE_URL> \
  --context "app=dataverse-skills/<ver>;skill=dv-solution;agent=<agent>"

The response value[0].systemuserroles_association is the list of assigned roles (each with name).

Check import errors

python
jobs = client.records.list(
    "importjob",
    select=["importjobid", "solutionname", "startedon", "completedon", "progress"],
    orderby=["startedon desc"],
    top=5,
)

For detailed error history, also query msdyn_solutionhistory:

python
history = client.records.list(
    "msdyn_solutionhistory",
    filter="msdyn_status eq 1",  # 1 = failed
    select=["msdyn_name", "msdyn_starttime", "msdyn_exceptionmessage"],
    orderby=["msdyn_starttime desc"],
    top=5,
)

Validation error reference

ErrorCauseFix
Table not found after importComponent not in solutionAdd via pac solution add-solution-component
Form check fails immediatelyPublishing is asyncWait 30 seconds and retry
Role not assignedUser not provisionedAssign the role via pac admin assign-user or the Power Platform Admin Center
Import job at 0%Import still runningPoll again in 60 seconds

Notes

  • Always use --managed false / --packagetype Unmanaged for the development solution. Managed packages are for deployment to downstream environments (test, prod).
  • --activate-plugins ensures any registered plugins in the solution are activated on import.
  • If you see "solution already exists" errors, use --import-mode ForceUpgrade to overwrite.
  • Large solutions (Sales, Customer Service) can take 10–20 minutes to import. Be patient and poll rather than re-importing.
  • All validation queries above require auth. Use scripts/auth.py for credential/token acquisition. See dv-query for SDK query patterns and dv-data for write patterns.

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