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wasp deploy command. Here's how you can do it:wasp buildrailway up in the .wasp/build directory (server). Repeat all the steps in the .wasp/build/web-app directory (client) [^3^]..wasp/out files. However, when deploying to Fly, Wasp builds a fresh build in .wasp/build so those manual changes won't be deployed. One way to solve this is to have a "patched" version of the file you need to modify, somewhere in the project root. Then you provide your own custom DockerfileDockerfile.wasp/build folder). In that Dockerfilecp ./my-patched-file.js server/something/somewhere.js [^2^].K
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wasp db studio to interact with your database using Prisma Studio [^1^].DATABASE_URL.env.server after you're done, to avoid accidentally making unwanted changes to the production database [^1^].KSKK
fly proxy 5432 -a <db-name>, you can run Prisma Studio with the following command:DATABASE_URL.env.server file. If Prisma Studio fails to connect, it might be due to an incorrect DATABASE_URLpsycopg2 or sqlalchemy. You'll also need the connection details for your database, which include the host, port, database name, username, and password.psycopg2:fly postgres connect -a <db-name> command to get the DB name [^5^]. For the DB password, you can use the fly ssh console -a <db-name> command and then echo $OPERATOR_PASSWORD [^5^].psycopg2 package, which you can do with pip install psycopg2.KKKSKKlocalhost<your-fly-db-host>, <db_name>, and <password> with your actual database host, database name, and password respectively.KSSwasp deployrailway up.wasp/build.wasp/build.wasp/build.wasp/build/web-app.wasp/outcp ./my-patched-file.js server/something/somewhere.jswasp db studio.env.server.env.serverfly proxy 5432 -a <db-name>psycopg2psycopg2psycopg2sqlalchemyfly postgres connect -a <db-name>fly ssh console -a <db-name>echo $OPERATOR_PASSWORDpip install psycopg2<your-fly-db-host><db_name><password>wasp deploy fly deploy fly proxy 5432 -a <db-name>wasp db studioimport psycopg2
# Replace these with your actual values
host = "localhost"
port = "5432"
dbname = "<db_name>"
user = "postgres"
password = "<password>"
# Establish a connection
conn = psycopg2.connect(
host=host,
port=port,
dbname=dbname,
user=user,
password=password
)
# Create a cursor object
cur = conn.cursor()
# Execute a query
cur.execute("SELECT * FROM your_table")
# Fetch all rows from the last executed statement
rows = cur.fetchall()
# Close the connection
conn.close()import psycopg2
# Replace these with your actual values
host = "<your-fly-db-host>"
port = "5432"
dbname = "<db_name>"
user = "postgres"
password = "<password>"
# Establish a connection
conn = psycopg2.connect(
host=host,
port=port,
dbname=dbname,
user=user,
password=password
)
# Create a cursor object
cur = conn.cursor()
# Execute a query
cur.execute("SELECT * FROM your_table")
# Fetch all rows from the last executed statement
rows = cur.fetchall()
# Close the connection
conn.close()