context("Print and Summary methods")

testthat::skip_on_cran()
testthat::test_that(

  desc = "Proper summaries and print.",

  code = {

    # Print methods
    model <- make_model("X->Y")


    out <- capture.output(summary(model))
    expect_true(any(grepl("pose causal queries", out)))

    out <- capture.output(summary(model, include ="nodes"))
    expect_true(any(grepl("Nodes:", out)))

    out <- capture.output(summary(model, include ="parents_df"))
    expect_true(any(grepl("parents", out)))

    out <- capture.output(summary(model, include ="parameters_df"))
    expect_false(any(grepl("first 10 rows:", out)))

    model <- make_model("X -> Y <- M; X -> M")
    out <- capture.output(summary(model, include ="parameters_df"))
    expect_true(any(grepl("snippet", out)))

    out <- capture.output(summary(model, include ="causal_types"))
    expect_true(any(grepl("snippet", out)))

    model <- make_model("X->Y")
    out <- capture.output(summary(model, include ="causal_types"))
    expect_false(any(grepl("first 10 causal types:", out)))


    out <- capture.output(summary(model, include ="nodal_types"))
    expect_false(any(grepl("types omitted", out)))
    model <- make_model("X -> Y <- M; W -> Y")
    out <- capture.output(summary(model, include ="nodal_types"))
    expect_true(any(grepl("types omitted", out)))

    model <- make_model("X->Y")
    out <- capture.output(summary(model, include ="parameters"))
    expect_true(any(grepl("Model parameters with associated probabilities", out)))

    model <- update_model(model,  keep_event_probabilities = TRUE)

    out <- capture.output(summary(model, include ="prior_distribution"))
    expect_true(any(grepl("Summary statistics", out)))

    out <- capture.output(summary(model, include = "posterior_distribution"))
    expect_true(any(grepl("posterior distributions", out)))
    expect_true(any(grepl("not contain the following objects: specified 'data', stanfit", out)))

    model <- update_model(model,  keep_event_probabilities = TRUE, data = data.frame(X = 1))
    out <- capture.output(summary(model, include = "posterior_distribution"))
    expect_true(any(grepl("not contain the following objects: stanfit", out)))

    out <- capture.output(summary(model, include =c("posterior_distribution", "ambiguities_matrix")))
    expect_true(any(grepl("posterior_distribution", out)))
    expect_true(any(grepl("ambiguities_matrix", out)))

    out <- capture.output(summary(model, include ="type_prior"))
    expect_true(any(grepl("type_prior", out)))

    out <- capture.output(summary(model, include ="stan_summary"))
    expect_true(any(grepl("Inference for Stan model", out)))

    out <- capture.output(summary(model, include ="posterior_event_probabilities"))
    expect_true(any(grepl("event probabilities", out)))

    out <- capture.output(summary(model, include ="prior_event_probabilities"))
    expect_true(any(grepl("event_probs", out)))

    out <- capture.output(summary(model, include ="type_distribution"))
    expect_true(any(grepl("Posterior draws", out)))

    expect_error(summary(model, include = c("xx")))

    out <- capture.output((query_model(model, "Y[X=1] - Y[X=0]", using = "parameters")))
    expect_true(any(grepl("Causal queries", out)))
    expect_true(any(grepl("|:---------------|:----------|----:|", out)))

    out <- capture.output(query_model(model, "Y[X=1] - Y[X=0]", using = "priors"))
    expect_true(any(grepl("Causal queries", out)))
    expect_true(any(grepl("|:---------------|:------|-----:|-----:|--------:|---------:|", out)))

  }



)