# TypeDB Python Driver
## Driver Architecture
To learn about the mechanism that TypeDB drivers use to set up communication with databases running on the TypeDB
Server, refer to the [Drivers Overview](https://typedb.com/docs/core-concepts/drivers/overview).
## API Reference
To learn about the methods available for executing queries and retrieving their answers using Python, refer to
the [API Reference](https://typedb.com/docs/reference/typedb-grpc-drivers/python).
## Install TypeDB Python Driver through Pip
1. Install `typedb-driver` using `pip`:
```bash
pip install typedb-driver
```
2. If multiple Python versions are available, you may wish to use:
```
pip3 install typedb-driver
```
3. Make sure a [TypeDB Server](https://typedb.com/docs/home/install/) is
running.
4. In your python program, import from `typedb.driver` (see [Example usage](#example-usage) or `tests/integration` for examples):
```py
from typedb.driver import *
driver = TypeDB.driver(address=TypeDB.DEFAULT_ADDRESS, ...)
```
## Example usage
<!-- EXAMPLE_START_MARKER -->
```py
from typedb.driver import *
class TypeDBExample:
def typedb_example(self):
# Open a driver connection. Specify your parameters if needed
# The connection will be automatically closed on the "with" block exit
with TypeDB.driver(TypeDB.DEFAULT_ADDRESS, Credentials("admin", "password"), DriverOptions(is_tls_enabled=False)) as driver:
# Create a database
driver.databases.create("typedb")
database = driver.databases.get("typedb")
# Use "try" blocks to catch driver exceptions
try:
# Open transactions of 3 types
tx = driver.transaction(database.name, TransactionType.READ)
# Execute any TypeDB query using TypeQL. Wrong queries are rejected with an explicit exception
result_promise = tx.query("define entity i-cannot-be-defined-in-read-transactions;")
print("The result is still promised, so it needs resolving even in case of errors!")
result_promise.resolve()
except TypeDBDriverException as expected_exception:
print(f"Once the query's promise is resolved, the exception is revealed: {expected_exception}")
finally:
# Don't forget to close the transaction!
tx.close()
# Open a schema transaction to make schema changes
# Transactions can be opened with configurable options. This option limits its lifetime
options = TransactionOptions(transaction_timeout_millis=10_000)
# Use "with" blocks to forget about "close" operations (similarly to connections)
with driver.transaction(database.name, TransactionType.SCHEMA, options) as tx:
define_query = """
define
entity person, owns name, owns age;
attribute name, value string;
attribute age, value integer;
"""
answer = tx.query(define_query).resolve()
if answer.is_ok():
print(f"OK results do not give any extra interesting information, but they mean that the query "
f"is successfully executed!")
# Commit automatically closes the transaction. It can still be safely called inside "with" blocks
tx.commit()
# Open a read transaction to safely read anything without database modifications
with driver.transaction(database.name, TransactionType.READ) as tx:
answer = tx.query("match entity $x;").resolve()
# Collect concept rows that represent the answer as a table
rows = list(answer.as_concept_rows())
row = rows[0]
# Collect column names to get concepts by index if the variable names are lost
header = list(row.column_names())
column_name = header[0]
# Get concept by the variable name (column name)
concept_by_name = row.get(column_name)
# Get concept by the header's index
concept_by_index = row.get_index(0)
print(f"Getting concepts by variable names ({concept_by_name.get_label()}) and "
f"indexes ({concept_by_index.get_label()}) is equally correct. ")
# Check if it's an entity type before the conversion
if concept_by_name.is_entity_type():
print(f"Both represent the defined entity type: '{concept_by_name.as_entity_type().get_label()}' "
f"(in case of a doubt: '{concept_by_index.as_entity_type().get_label()}')")
# Continue querying in the same transaction if needed
answer = tx.query("match attribute $a;").resolve()
# Concept rows can be used as any other iterator
rows = [row for row in answer.as_concept_rows()]
for row in rows:
# Same for column names
column_names_iter = row.column_names()
column_name = next(column_names_iter)
concept_by_name = row.get(column_name)
# Check if it's an attribute type before the conversion
if concept_by_name.is_attribute_type():
attribute_type = concept_by_name.as_attribute_type()
print(f"Defined attribute type's label: '{attribute_type.get_label()}', "
f"value type: '{attribute_type.try_get_value_type()}'")
print(f"It is also possible to just print the concept itself: '{concept_by_name}'")
# Open a write transaction to insert data
with driver.transaction(database.name, TransactionType.WRITE) as tx:
insert_query = "insert $z isa person, has age 10; $x isa person, has age 20, has name \"John\";"
answer = tx.query(insert_query).resolve()
# Insert queries also return concept rows
rows = list(answer.as_concept_rows())
row = rows[0]
for column_name in row.column_names():
inserted_concept = row.get(column_name)
print(f"Successfully inserted ${column_name}: {inserted_concept}")
if inserted_concept.is_entity():
print("This time, it's an entity, not a type!")
# It is possible to ask for the column names again
header = [name for name in row.column_names()]
x = row.get_index(header.index("x"))
print("As we expect an entity instance, we can try to get its IID (unique identification): "
"{x.try_get_iid()}. ")
if x.is_entity():
print(f"It can also be retrieved directly and safely after a cast: {x.as_entity().get_iid()}")
# Do not forget to commit if the changes should be persisted
print('CAUTION: Committing or closing (including leaving the "with" block) a transaction will '
'invalidate all its uncollected answer iterators')
tx.commit()
# Open another write transaction to try inserting even more data
with driver.transaction(database.name, TransactionType.WRITE) as tx:
# When loading a large dataset, it's often better not to resolve every query's promise immediately.
# Instead, collect promises and handle them later. Alternatively, if a commit is expected in the end,
# just call `commit`, which will wait for all ongoing operations to finish before executing.
queries = ["insert $a isa person, has name \"Alice\";", "insert $b isa person, has name \"Bob\";"]
for query in queries:
tx.query(query)
tx.commit()
with driver.transaction(database.name, TransactionType.WRITE) as tx:
# Commit will still fail if at least one of the queries produce an error.
queries = ["insert $c isa not-person, has name \"Chris\";", "insert $d isa person, has name \"David\";"]
promises = []
for query in queries:
promises.append(tx.query(query))
try:
tx.commit()
assert False, "TypeDBDriverException is expected"
except TypeDBDriverException as expected_exception:
print(f"Commit result will contain the unresolved query's error: {expected_exception}")
# Open a read transaction to verify that the previously inserted data is saved
with driver.transaction(database.name, TransactionType.READ) as tx:
# Queries can also be executed with configurable options. This option forces the database
# to include types of instance concepts in ConceptRows answers
options = QueryOptions(include_instance_types=True)
# A match query can be used for concept row outputs
var = "x"
answer = tx.query(f"match ${var} isa person;", options).resolve()
# Simple match queries always return concept rows
count = 0
for row in answer.as_concept_rows():
x = row.get(var)
x_type = x.as_entity().get_type().as_entity_type()
count += 1
print(f"Found a person {x} of type {x_type}")
print(f"Total persons found: {count}")
# A fetch query can be used for concept document outputs with flexible structure
fetch_query = """
match
$x isa! person, has $a;
$a isa! $t;
fetch {
"single attribute type": $t,
"single attribute": $a,
"all attributes": { $x.* },
};
"""
answer = tx.query(fetch_query).resolve()
# Fetch queries always return concept documents
count = 0
for document in answer.as_concept_documents():
count += 1
print(f"Fetched a document: {document}.")
print(f"This document contains an attribute of type: {document['single attribute type']['label']}")
print(f"Total documents fetched: {count}")
print("More examples can be found in the API reference and the documentation.\nWelcome to TypeDB!")
```
<!-- EXAMPLE_END_MARKER -->
Raw data
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"description": "# TypeDB Python Driver\n\n## Driver Architecture\n\nTo learn about the mechanism that TypeDB drivers use to set up communication with databases running on the TypeDB\nServer, refer to the [Drivers Overview](https://typedb.com/docs/core-concepts/drivers/overview).\n\n## API Reference\n\nTo learn about the methods available for executing queries and retrieving their answers using Python, refer to\nthe [API Reference](https://typedb.com/docs/reference/typedb-grpc-drivers/python).\n\n## Install TypeDB Python Driver through Pip\n1. Install `typedb-driver` using `pip`:\n```bash\npip install typedb-driver\n```\n2. If multiple Python versions are available, you may wish to use:\n```\npip3 install typedb-driver\n```\n3. Make sure a [TypeDB Server](https://typedb.com/docs/home/install/) is\n running.\n4. In your python program, import from `typedb.driver` (see [Example usage](#example-usage) or `tests/integration` for examples):\n```py\nfrom typedb.driver import *\n\ndriver = TypeDB.driver(address=TypeDB.DEFAULT_ADDRESS, ...)\n```\n\n## Example usage\n\n<!-- EXAMPLE_START_MARKER -->\n\n```py\nfrom typedb.driver import *\n\n\nclass TypeDBExample:\n\n def typedb_example(self):\n # Open a driver connection. Specify your parameters if needed\n # The connection will be automatically closed on the \"with\" block exit\n with TypeDB.driver(TypeDB.DEFAULT_ADDRESS, Credentials(\"admin\", \"password\"), DriverOptions(is_tls_enabled=False)) as driver:\n # Create a database\n driver.databases.create(\"typedb\")\n database = driver.databases.get(\"typedb\")\n\n # Use \"try\" blocks to catch driver exceptions\n try:\n # Open transactions of 3 types\n tx = driver.transaction(database.name, TransactionType.READ)\n\n # Execute any TypeDB query using TypeQL. Wrong queries are rejected with an explicit exception\n result_promise = tx.query(\"define entity i-cannot-be-defined-in-read-transactions;\")\n\n print(\"The result is still promised, so it needs resolving even in case of errors!\")\n result_promise.resolve()\n except TypeDBDriverException as expected_exception:\n print(f\"Once the query's promise is resolved, the exception is revealed: {expected_exception}\")\n finally:\n # Don't forget to close the transaction!\n tx.close()\n\n # Open a schema transaction to make schema changes\n # Transactions can be opened with configurable options. This option limits its lifetime\n options = TransactionOptions(transaction_timeout_millis=10_000)\n\n # Use \"with\" blocks to forget about \"close\" operations (similarly to connections)\n with driver.transaction(database.name, TransactionType.SCHEMA, options) as tx:\n define_query = \"\"\"\n define \n entity person, owns name, owns age; \n attribute name, value string;\n attribute age, value integer;\n \"\"\"\n answer = tx.query(define_query).resolve()\n if answer.is_ok():\n print(f\"OK results do not give any extra interesting information, but they mean that the query \"\n f\"is successfully executed!\")\n\n # Commit automatically closes the transaction. It can still be safely called inside \"with\" blocks\n tx.commit()\n\n # Open a read transaction to safely read anything without database modifications\n with driver.transaction(database.name, TransactionType.READ) as tx:\n answer = tx.query(\"match entity $x;\").resolve()\n\n # Collect concept rows that represent the answer as a table\n rows = list(answer.as_concept_rows())\n row = rows[0]\n\n # Collect column names to get concepts by index if the variable names are lost\n header = list(row.column_names())\n\n column_name = header[0]\n\n # Get concept by the variable name (column name)\n concept_by_name = row.get(column_name)\n\n # Get concept by the header's index\n concept_by_index = row.get_index(0)\n\n print(f\"Getting concepts by variable names ({concept_by_name.get_label()}) and \"\n f\"indexes ({concept_by_index.get_label()}) is equally correct. \")\n\n # Check if it's an entity type before the conversion\n if concept_by_name.is_entity_type():\n print(f\"Both represent the defined entity type: '{concept_by_name.as_entity_type().get_label()}' \"\n f\"(in case of a doubt: '{concept_by_index.as_entity_type().get_label()}')\")\n\n # Continue querying in the same transaction if needed\n answer = tx.query(\"match attribute $a;\").resolve()\n\n # Concept rows can be used as any other iterator\n rows = [row for row in answer.as_concept_rows()]\n\n for row in rows:\n # Same for column names\n column_names_iter = row.column_names()\n column_name = next(column_names_iter)\n\n concept_by_name = row.get(column_name)\n\n # Check if it's an attribute type before the conversion\n if concept_by_name.is_attribute_type():\n attribute_type = concept_by_name.as_attribute_type()\n print(f\"Defined attribute type's label: '{attribute_type.get_label()}', \"\n f\"value type: '{attribute_type.try_get_value_type()}'\")\n\n\n print(f\"It is also possible to just print the concept itself: '{concept_by_name}'\")\n\n # Open a write transaction to insert data\n with driver.transaction(database.name, TransactionType.WRITE) as tx:\n insert_query = \"insert $z isa person, has age 10; $x isa person, has age 20, has name \\\"John\\\";\"\n answer = tx.query(insert_query).resolve()\n\n # Insert queries also return concept rows\n rows = list(answer.as_concept_rows())\n row = rows[0]\n\n for column_name in row.column_names():\n inserted_concept = row.get(column_name)\n print(f\"Successfully inserted ${column_name}: {inserted_concept}\")\n if inserted_concept.is_entity():\n print(\"This time, it's an entity, not a type!\")\n\n # It is possible to ask for the column names again\n header = [name for name in row.column_names()]\n\n x = row.get_index(header.index(\"x\"))\n print(\"As we expect an entity instance, we can try to get its IID (unique identification): \"\n \"{x.try_get_iid()}. \")\n if x.is_entity():\n print(f\"It can also be retrieved directly and safely after a cast: {x.as_entity().get_iid()}\")\n\n # Do not forget to commit if the changes should be persisted\n print('CAUTION: Committing or closing (including leaving the \"with\" block) a transaction will '\n 'invalidate all its uncollected answer iterators')\n tx.commit()\n\n # Open another write transaction to try inserting even more data\n with driver.transaction(database.name, TransactionType.WRITE) as tx:\n # When loading a large dataset, it's often better not to resolve every query's promise immediately.\n # Instead, collect promises and handle them later. Alternatively, if a commit is expected in the end,\n # just call `commit`, which will wait for all ongoing operations to finish before executing.\n queries = [\"insert $a isa person, has name \\\"Alice\\\";\", \"insert $b isa person, has name \\\"Bob\\\";\"]\n for query in queries:\n tx.query(query)\n tx.commit()\n\n with driver.transaction(database.name, TransactionType.WRITE) as tx:\n # Commit will still fail if at least one of the queries produce an error.\n queries = [\"insert $c isa not-person, has name \\\"Chris\\\";\", \"insert $d isa person, has name \\\"David\\\";\"]\n promises = []\n for query in queries:\n promises.append(tx.query(query))\n\n try:\n tx.commit()\n assert False, \"TypeDBDriverException is expected\"\n except TypeDBDriverException as expected_exception:\n print(f\"Commit result will contain the unresolved query's error: {expected_exception}\")\n\n # Open a read transaction to verify that the previously inserted data is saved\n with driver.transaction(database.name, TransactionType.READ) as tx:\n # Queries can also be executed with configurable options. This option forces the database\n # to include types of instance concepts in ConceptRows answers\n options = QueryOptions(include_instance_types=True)\n\n # A match query can be used for concept row outputs\n var = \"x\"\n answer = tx.query(f\"match ${var} isa person;\", options).resolve()\n\n # Simple match queries always return concept rows\n count = 0\n for row in answer.as_concept_rows():\n x = row.get(var)\n x_type = x.as_entity().get_type().as_entity_type()\n count += 1\n print(f\"Found a person {x} of type {x_type}\")\n print(f\"Total persons found: {count}\")\n\n # A fetch query can be used for concept document outputs with flexible structure\n fetch_query = \"\"\"\n match\n $x isa! person, has $a;\n $a isa! $t;\n fetch {\n \"single attribute type\": $t,\n \"single attribute\": $a,\n \"all attributes\": { $x.* },\n };\n \"\"\"\n answer = tx.query(fetch_query).resolve()\n\n # Fetch queries always return concept documents\n count = 0\n for document in answer.as_concept_documents():\n count += 1\n print(f\"Fetched a document: {document}.\")\n print(f\"This document contains an attribute of type: {document['single attribute type']['label']}\")\n print(f\"Total documents fetched: {count}\")\n\n print(\"More examples can be found in the API reference and the documentation.\\nWelcome to TypeDB!\")\n```\n\n<!-- EXAMPLE_END_MARKER -->\n",
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