{ "_id": "69c4fee78bc89d43db5e69ec", "Package": "dittodb", "Title": "A Test Environment for Database Requests", "Version": "0.1.11.9000", "Authors@R": "c(\nperson(given = \"Jonathan\",\nfamily = \"Keane\",\nrole = c(\"aut\", \"cre\"),\nemail = \"jkeane@gmail.com\",\ncomment = c(ORCID = \"0000-0001-7087-9776\")),\nperson(given = \"Mauricio\",\nfamily = \"Vargas\",\nrole = \"aut\",\nemail = \"mvargas@dcc.uchile.cl\",\ncomment = c(ORCID = \"0000-0003-1017-7574\")),\nperson(given = \"Helen\",\nfamily = \"Miller\",\nrole = \"rev\",\ncomment = \"reviewed the package for rOpenSci, see https://github.com/ropensci/software-review/issues/366\"),\nperson(given = \"Etienne\",\nfamily = \"Racine\",\nrole = \"rev\",\ncomment = \"reviewed the package for rOpenSci, see https://github.com/ropensci/software-review/issues/366\")\n)", "URL": "https://dittodb.jonkeane.com/, https://github.com/ropensci/dittodb", "BugReports": "https://github.com/ropensci/dittodb/issues", "Description": "Testing and documenting code that communicates with remote\ndatabases can be painful. Although the interaction with R is\nusually relatively simple (e.g. data(frames) passed to and from\na database), because they rely on a separate service and the\ndata there, testing them can be difficult to set up,\nunsustainable in a continuous integration environment, or\nimpossible without replicating an entire production cluster.\nThis package addresses that by allowing you to make recordings\nfrom your database interactions and then play them back while\ntesting (or in other contexts) all without needing to spin up\nor have access to the database your code would typically\nconnect to.", "License": "Apache License (>= 2.0)", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "Roxygen": "list(markdown = TRUE)", "Language": "en-US", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Collate": "'capture-requests.R' 'connection.R' 'dbExistsTable.R'\n'dbListTables-Fields.R' 'driver-specific-connections.R'\n'dbQueries-Results.R' 'dbMisc.R' 'mock-paths.R' 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